137
LOCALIZED AND GLOBAL APPROACHES FOR TILED NOSC TD 1228 WINDOW MANAGEMENT BY: JF CHEN, JS GREENSTEIN UNCLASSIFIED UNCLA5SIF I-E JAN 1988 IIIIIIIIII IIIIIIIIIIIIIu Ellllllllllll llllllllllll IIIIIIIIIIIIIu llllllmhllllhu IIIIIIIIIIIIIIl

UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

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Page 1: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

LOCALIZED AND GLOBAL APPROACHES FOR TILED NOSC TD 1228WINDOW MANAGEMENT BY: JF CHEN, JS GREENSTEIN UNCLASSIFIEDUNCLA5SIF I-E JAN 1988IIIIIIIIIIIIIIIIIIIIIIIuEllllllllllllllllllllllllIIIIIIIIIIIIIullllllmhllllhuIIIIIIIIIIIIIIl

Page 2: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

C44

'48

C cj' January 1988

o Localized and GlobalAP~ro~hesfor Tiled

NNIndow Mianagement

J ,F. ChenJ.S. Greenste!,"

(Cl emson Univers'ity

A,

Page 3: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

NAVAL OCEAN SYSTEMS CENTERSan Diego, California 92152-5000

Comm ancr' Tehia e rec~or

\.I)\INISI U \H\11 INI(R 'I()

ACKNOWLED)(AENTFS

7c- -up rrt . v the Humnan an's d SpeechTeI .-. , N

* ~ ~ ~ ~ ' ! ~ .. :ir~ ccecK ,--a: Jirectmon of Dr Gilenn -v (),c p n tfxt m- ,,,:. ~ uren W~. V~r r(~vl ihIe ,,)ric. cQwupment. ad n:::~.

* .... .. ;~.i~r mn e nerner", Dr P p~ '~ an D ) 1. K'. ~r a

Page 4: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

REPORT DOCUYENAThON PAOF I

Page 5: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

DO PCM 1177 j:','

Page 6: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

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ow ' a 11 e

rtnur e -r. *-i~

3-~ r ~ rV 1 r

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- - J - -

Page 8: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

C s

an A.eT) P

M . , Ie r i a . _ _ -

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1,%.,

Page 10: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

for ~ Hil nrA--Sze- -D: : v v~n 7

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rte rat o 'c' A N,-Lm ari

ur 'Ire ,spla et 'as

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I I P

Page 14: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

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re± On

-P- i's >:3s pm <rs - <-

V07! wi i' 07 1 0 y i n rs r l t ew ~

S eL -C V"j a i I v P r i e - eS

4- ~ ~ ~ s r i Crnca an ~ere i j

Page 15: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- ~ --- A. A -

- - - - .. t< - . . I .~ -. - ,- -

- *~~~1~~*'~

- a---> -< - - ,.

- - - .,- -I -

- - a . A

- - lTd -- -

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Page 16: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

a ~ ~ ~ ~ ~ Be e:st - .' -

i s nm e.s.t- s e r .

ic aa'

hte ow .a-o' raA

SI' sg s n '

;i1,

Page 17: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

innmav be isl!i h P;:-Y xml ;nwindows .2onlingmeus_ [mgd r-.I~kwi

Mvserve as ar nl~~o or -wnan onerWh ne display cursor is i 1:p window :Omr 4-ala pcLi O n~go 7na winow necomts acL r T~

znecomand language 7w e simple and more~ m~o 0' 2

7hex' can he used to dispav mu lrtple represerrtanluns tr77iame cask This can permit moe ucser on :ert'-: a svqcecp Aactions using UPo rep~esentatnorI c ;ies7 n ;so a-vc r7

in the sequence.

Bul avies and Darnel I l99'5; conducpni n experiment to tes7

tie hyothesis ch~at the user can gain benefits from nu tLple windows

a nask whi~ch requires the aisplay of supplemental iforna.ior relevant

7: toe ver's primary; task Alttoug;: users of the wcndowec' ernviror.Ten

szetnt addiional time ge~ning windows onto twe screen and arranging then

a usable lavout their performance was more accurate than that of

.3fSi the ncn,-w i ocowed erirornen

3urv et a! "P85) suggest that users can also benefit from mclzicrue

in the following tasks

t asks in which users moni tor svs tern changes in a senonrdarvwindow while performing a task in a primary; window

i asks in which specific Locations within more than.o'ne application need. to be specified

Window Coategories

IArd e7 VI stated that current des igns for windo~w marnage-

T;"sstems :an be bWken down into approximnatel t our categories

sin "l winows ne-uzped Lndows spacl mtr:, w-,

Page 18: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-- ~~~~ - a a~rt ~ Fr t.

-,oa are m: : tle'4u.t'o Ws tso-a -r aS ie rns<. -c e e -

.'eo "nor:mat!7or ma' v ainze wtnro ac ross -,>ndcws los

teal~~~ ~~ ot~dw wlhe'~dw an a0 h r~dw ae t r ni'ce s

Icos are very sm-al windos, eeraw represented on the screen

toasma s'rnbolio- Moto rs or some sort. An icon may; be selected and

e xca nded into a fr-ill-size window. Icons are a means for keepi.ng.rr~c

itS of a large amount. oF Inrormiatlon on th-e screen w-:ncut t-aking up

Bifocal wi ndow s too zuoe to se w, idow s in whi ch h ie r ar hCal in7fo

7- -r s displaved in fuldetail- in the center. R e La -- : Int"ormia t>;n

I;I s:a'',e , or t1h e peri,4.phe r-;- - n e nough dIer ail to r~:gz t

rt user alwayvs tas de ta o,-dis plav of s3om e ie m t t-est -c

e4diLs ~ n; of mnrte x c-a trel ated iems .

e image t a coy- i 'r rrc r Tn Ilo fral f e- wn

~ec n s r~ ra,,, e r e, ~ o'rdz

- ' ~ j~c~ win *- r - ' ,-, i-

Page 19: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

.a-, e- t each at e ) n -

,q 7 - sm .lrC-in -he m v e at n Z- :-!-;

n- r istr.. . g parts ,at -ae -mst :. "r ,a,

lonefl gs:" :t . and iverson . < -. .-- 1 0 1- = i- - 1- . - -- - ,

e: 'wirindow organizations have hee:- -- '-

linh.C co. nmn---indc-s are .- '-,d ," "-' cal1v i.- a s r -P

t M.lti.. un The screen is 07 :nuIt i I , e

wirnws are l..ned up verttrsa"v in e.cr. co~lmr

- Pierarchical- -The screen is divided ei'her :erti:all:v Pr hoi-

zonra!Lv into partitions. and the para:Ition is then recursive.vdivided into subpart-tions. Windows correspond to the fina set

of undiviled partitions Each partition corresponds to a node

in a hierarchy, with windows at the leaves

Nonnierarchical--Any rectangular tiling can appear in the

svstem.

Tiled Windows vs 'yer lacr'ng 'indows

tiled window sstem is defined as one in which any -ster window is

-vs fulv-- visible windows are not allowed to overlar .r ,-,vrar-

i 4 window svstem is defined as one in which the user -n, .aaze a w-'t

n.w s location and size in arv wav desired

-,oodfellow (1986 noted that tled windows and -verl,:;irz Ki'd-'

-- n:. have advantages The advantames of tiled windows i-cAe

- S.-, no windo'w is ,nscured. -he :ser ,,ver 4. a 1. r - rra e

screen to see somethi:g ;,hat has keen .urted -i 'Iv ,Yt.5.

is :aomon with the over 3 L, ' nModel

I7r" r is O - ', i, ne ' "

Page 20: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

'ons a'reYso.7Ylow anazrer .::rr

IL Dac - ha zi

.1W CA t ie m,

-_ or~ v w -tr a''-- -

rle .jan .s ic n wil I .

-. Mor theo~ j~rim.T . T<Q.C tiA.>&,o

windows.

-%ht-r e: a: ret .9rmd :ha: useris at the desktop maode! wht:n

allwT indws c oer~p acK otner like sheets of paper piled tip onr a

swdesk.. >0k' a pric for fVs flexibl iL:.v especiall wc heni larze

-.=hors f c-daz ne-ed no oe a..:ommodareu The desktop can become

T-STfr->ng t:.e user nooo - Pfl :ocate jind reart-rag wtndc'-s

.7,1aPig winfdows ma-; he most ~setnl for svstems usinz small screens

i: fir i:-stanns trw. .. se 5n..; a5 few windows over a lc-g period *

AP umared wit. ovrp. inw tiled stems wc alowA

to~ 7 control theiln r save spr: do rnot need n3worvao!

C7a nas open buried' acciier' l :7o car rpqr flfl wrkof71

Srin -K'-me trostrl~ 7:505t9we 4w>h.i;Ql> 3noaial re-

nwscreen o5ised nnVe.:. n- car r, v h he id-

-ask , - n .V 1 cr3 .: n "I:H -inan

Page 21: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

*a 7S w.r o ~indow s arn; r >r 4 a:as

-. :twe -.ndews and mak~e -.he nece'ssar;. 7eX- iO ~ ':~ ~

tre S ei-rUsrol~ an3n 1~ ztuw eiOcs

-1. Ze'ue -n r e wlco a1.~ i.rrz. 0'..; 're Skic-

I eU. W1 dS It us er s a re Ine xpPe E e a rthe se o m.'e r a-

- Wzno's Led !;idows are erFor bDo-h kinds cf tasks Th e

suge te pas s ibiiit a o a j s pr e, q 11a tro 7z

let :- an. tiedu w ,ndow svs ze-s tilec windows a' )e er

s tatz:onr.s Paradoxi4,caI> -, ~, iv r : e ?s'-ectsS;7-

a~- -Jerap tn w nd'ow e nd w S

*ser ".-s

- 1..-, report-ec e> ToE 'fs z,7

W ow -La agerne n S! sse m S

r s rjrstr c~~ ec , ome 'If e P05 t

e *- dws a ve been in s s e m S K ~

S t r- n(k- r s se o'a

Page 22: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

7 ew. T- ~s m a e co w i s auznma w. e-.

- ~do'~'Managemerz

e a - s~ a ed uhia tt re d w in doc w m a na ze me n s:;S em s

we r v idely !- ie~r approc;i ,es :o resiZing ard operJ :-g a window

a ~w 0, re1,sl zer 17 -drew and RT.RL::,wc of th-e several

.4e .w management- svystem -Ppeena on t -a a-e 'been re.ported,

e t',3 e f fe c ts a re o.cal and manual ion' --. e adiacent,

or 1tve -or space and ?--he amount of space .ie r taier ;-s

sv eh sr. r- CePd ar ; nd RTL/C(RTL, e ffe c s ar:7e a~~ a.d

te 0otn-e r w indows a re g ivE,,n o r g -.,e i s -tc w'

s space wi';er or t-aker :onr.,o ILed ;n-: e -Ite S r

lY~~l ~ rn ieeffect is as -oa, as possibic. :f the i'aen

a' ea/ Srog apce eraC r, vk -m f- f- ox 7T:C s- 'I'i~7.

S.2s *e7 t* '.- - wi *7e' ... '

Page 23: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

".d ~ ~ ~ ~ ~ ~ ~ D ... 7. ,_.s2, a-! ,{ o.P O S ~} ,2 P a ad d a._~,T& i , Me lf-

SW- t a k e n -a w is v rr, m . .

n- *-. a. r..

,:~~- a rr: a 'e m. s "" -. ,a ; a e e.

-. . *anae e ' st u9.ce:so '. i df td- san n tLei ce.

. ... [YuA .s L z3 3 p r e e I T

S s - s enra in a wir.ow takesS~~ ~ Fe m9~ "

es cn "an nas e arn a "Wdo d a sese

:-.:..r Ycrr .an, AJda,_en~t w4120dw Ure..-tr-h adiacenr ,d1nco0 rerorme> too

>- .<. -tmer- e iarg- an t.: p:r.7<.teO1 e g - osling' -_'.; , t:

: : r* .. :.t .w"1 A..:< n : , . . y' .,:;oC.e 'e g . ndrew arK,' _7 RI"

. , a 1 ' 9 se a e w dow

mm~ ~~~ '>n -I-.M. SWF U

I - r1~~~~s Q --p irtg ''o

<-i r r or XiIros ft '<rd,<', r s a '.* i v ,l s s ,' r,,w e a - "' '

r) " *I. ., , : e aR , " l t "4

Page 24: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

v.me 575*T i:?p:.;ta--s aalrec-yiv-o I

____ anu systems adopt a7 DC:rC- ac:A7r Ynmand strjc::re

,,sir onsortict ettecttv se r srom'zjs for a s:snem wthich uses an

7.7wetsit axK V-rc-_-- isecase WH;i rmt

~.-krowerk of th 4sei inrpn'os and On ser' iner-2us

-i e Ne'i'cer 7v a greater axn- with knowldge o nh ation than

r'&A enu pcdg othe abec r ah other hand, th ohrV: actionf

s-n ssf~ore Asua ., rehav in dr SV a wit fewe = tS ac thiLs

is R-7 -a ! reg~'arc a' as hrh

-ido DeyiP y

-qr orc' C . 1 4 n n ; A i f re t S b o s 1 7 ~- -

vnlh'wl a/5-3 o 7r *- i c m a .

?0177 ~ ~ an -~ en;an adn~ SWI

Page 25: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

" T-,S-.-- U T -

:- -,- ". - , 3. - ,- " .-. : - " .. . ' '. . 7 -

'' - ,_ p -

Page 26: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-: , J*- c- w ---. S C,- -

a M. F- * *4' cl'- - f- ;a --,- i r-'-,-'. -*

&OG se LQt e-ISa L ___e WrL-stigCin t o'dnwsVS. ove r apb

a:unows e-> al i '"e s~' th ::vg e be nefits o f multirle

A 0 ,. 3 e e :rtnc a re a son f or uis iF:g w iudow mana em enT.t s stemrs

to ai te e~ftsof a jetter ,uan-,_computer ir-tertace it Is

ran f~ - s~ dsiner-s to Know, fc-r exam-'e n S>0 suatttus,

rue..oazed a')proach for rettn ndoeni ttj ;ncows is bett-er

7cT th7e zcb p~ahand in7 ih4,ch sit uations sVstem onro of- win.r-

7r,-, IaP aamet t ts etter th'an. ust-r conrlol .SuICh'if ntrzratn wou, pr -

-destgner-s to tmieen:te -. dow manazement s-;s'-"-7 -olae

2 2e.n S taion

Be, a;Se ursprs I ted -nowmnaajemet.(,, s'.'sem7s ma need tosper>;

a!- a 3t *) u S 4- m - r- -a C rr-7f-w-w r - 0 or ' t1o. . t-3

nc -: a fu

Page 27: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

rn. e s. . S m<.2 ,I e

* ~ ~ 'sse~v : Ce a<> 1, z e .. r e~ an Fe-i: -

v -:ak-,n "C . =

- ~ 7- na%-e en~nspaoe t?,te K- h eed

s,., -s a s akeT )rn . next- Pmost a,-4 ace<

S .stm n f-c Im :a. w ln st ze r- 7e~C' t- a

r.. en-arz, ~.o Or; -a .: space ::coa ,t:e ocoer W47o.ows ToeS

__~~ fr' . : ef th Stpa - t, o a-a-wo

7 e.vot of a displav are I -rta- ei :--, Fi ures I , a nd 3

'Three hvpotheses are troposed regrdJing _,e e ffect:s of thlese t'

~-onson. he amount- ot tiLme e user must , d c1ndcy Ta nag

st.n tnes hothIe s e s. t s ass- ed :hat a maximum ofM

w-,- . ~..ndow~s are r~itdon -. e diisplav. The mean number of data

..ra ar. 'e dis',pav~ed jin tn e4lr eno lrer' '-tv h tta.-rce

7 < fc -;r se M1 r-,ss -s denrec: 7"~ ~i.(iavrie~ :~.

a,.,L .a':It on the .-ide a d ispi TI is sluff ;Cie.,,! to, perm -- e sIu -

-i3:us di spl. ' of MxN data sets I nl r:rt hn~ss'

7i se s are i s p Ia.-e' P Or ~e vide c .sp a,'. 1 7~ c -,CE,'

eWindow aI'or a te d te a, o f thre 1-ip ',ave d d1a ta s Pts': w pf. r

-r, d's-t 'av. the f I -l'enos of the data sf <.e T m roo. 7 'A.

e-- e -do e.-' 7r eEY ,e oE r

Page 28: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

'~1K - <Irr

K "" -I

~----.- I-:

13______ it

N '- Km-''4 'K

I~ ~ K) ~

'- I r~LIIZ<'I'- ~-~ ___________________

~K I -K) -'I, .--- ,

LAJ -

I. N N-

~I ---- ~

-'--------.--->

~ KJ ~-

'4

II 3 -W C~j~ - -

I ~ ~Th

L<. U

Page 29: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

K I

I

- i1 \Q

- - - .' - - -.- "

" - C - - 3

.I LJ

, ~ k,

Page 30: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

0 L_

r---7

11 K l7

Page 31: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

aa - l Pe- e --

r? a s f r Ss We 7 r-.. - 2i - - - - - - - - - - - - - - -

The ~ ~ ~ ~ ~ ~ n h j..e c .. 51. s a';o~;s e, es soL*'- ehr nr :-

w_:nifdows are appro.xmmare y qa n s _z e i s e 1eiv hat e ac- of e

.cnows cont.ains space in excess of t.hat requi red :o displav th1-e fuiL

>;t E~i of the associat-ed data set: hUs it enexisrinrg win-dow re-'IS

enlarged or a new window needs to Ibe opened, the smallm~nto

-ae tniat w. be t.aken from each w-nrdow to accomvlisn r on-raticn

.e ecoba, a-Ppro-ach ma'; lea-;e these wi--ncojws s'f ::nx are*

- i I ->i osp av of the f'll as soci-ated datia set s i.e h oaie

triacr . rowever. space will be t.agenl troM onriv -)re or two wiod-ows.

.Tbe .srge amount of space thait each. of1 these windows must zive -Apfflav

tnese wir'dows to-o small -ocntne s)&o heI-asccw'

se, _ anex -44 ndow o en )w~-

Do 1wd -7 add~ I "Iu ~rdww r). Lir r 1 io -a sOn

Page 32: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

TT4

A A

/

I / /

/ / /

/

LilN)/

rn(

0E11 cD QL.~

~ VV

Page 33: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-o- data se~s that vary greas,> in iz. e

The oasis for "in s hv",urnesis is as follows lie: inu e :, 1",,

-a A" windows on the M.splav and the Qa~ a sets aver1i.

• inrdows varY zreaniv, in size. -i i 's l ikelv O-}at stnme wiv::daw s neonta':

great deal mrc-e space tnan that requi:ed lo displav -heir contents,

-i.le other 41nuows So uu. contain much excess space it tne cata sets

" d ...... tc par:crM a .sz ar:. . J 1 4, i"eldependen t f.ll cortents

of several of these laca sets may need 7o be, isplayed simultaeousLv

:erml.t performance At the :as, .n exist-:,g .indow needs to be

enlarged or a new window neecs no be opened tAe localized approach ser-

-t

ts the user to take space only from thse windows with sufficient

eKe-ss space to meen the needs of the operanion Under the global

a:;rsach more w!"r.cows woold be affected by the operation increasinz

.e likelihood that windows without much excess space wl be reduce A

_e.]w the size needed to view their till contents This in t.:rn, wou"

in'rease the likelihood that addt:iotnal erarging operatior.s will he

- , AV -x: o m re w. dows on e J t - . ... .- ... s "

- ert r:n a . 'ask ar- q,7.v .- er eperd r- *>.

- %..n r M-. ' , .i w n . ma.azem-" " ,- -" , -

71, Iw Aev fi

Page 34: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

*2

p. ii

--

) II

/ LJ

'7K x / 7/'

I _

Li/

/1§N

V~~i A

cizLJ

III(~~) _

'>0

Page 35: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- - sewert-.! of At9>C >... Se~s Pd,' have :o be- displ-:e':

7n u ;v --i :w ma:.ce &5 th ask Thts. if an s:::-in wii-

Vt- emlargeu o'r anew. wi:ndow needs to be oot-nec, mer lu~i

nzv~- llreduc~e ->nr: one or two '-:ncows below ne sine neple -

71OW- er Kl:contents. Vnu if the dlata sets cownained in tne'u- w> -

avs rE nezessar': to complete the cask Wil. ant' adi~iona erlarpirz

:Wfains be necsessary Unlder the g-.oca. dpprflac howev:er, sev-eral

windiw. wl e rednced Wo-w OEt siz reer 7a- *vXiew A . l co-

non:- incrasin - lk- n o Oat L1-, ~v,---,-

41 e teq.1re--

Page 36: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

xy'crtenz 'was Uesiveu 1-- tes- rhe r- jti'>c ewizin---

.- Ae andy 4g'' 0- approaches no ile atrdow mar>z-<.t. 'arer ;se.

V~r ech f iut Uec'su iF makZing SKPvaviL 125 7ni ---- !v

-- <i oss perminve ) : .. sula; I- waas Kiy an- %wt

- - - ---- s --- -3 Vi7'C . . .

- 'Yutns P*-1-.,-a--A im tr~s soud& cl

.7ors are ,~eed for norcnO202 vision at a distance of 67 c7-

7"P evrep I-zr 1 fru -h -'e s-cut in the experiment t o 8 hours

Ayrarat':si

:- arwa<rp e 'nti~ur-jI:- consisted of a Tardx 1:7 D versonal

7=-r wi .>kevncard inter:faced to a Tand-: <'4 1 mnotocurme text riI-

r ~cinM" 7 0',I clr grpnc Mni Sfwre

70 p rodu ce a'' tile idwsoe arager an!cfpeir

jdn c re oe r'rg wi d ws i ec h atAr'q nG r

toep hena~zd or goa ;rm-, es -a WPM ctna-77 7pc

;7iar a4is &esg-" ' pe1mi auwai 'Ain O xstn w-

t~- w nr;nn laZr r repniqa-'- -1r P 4

Page 37: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-I P :.C oa p k-r. cor r r ai sp e c re -Wr CO cow -a

i c3 J u e -sea 10, enlarl, e a Sle:I

x L 2-i- I u. u iest4,ons -. oe answtered

ec e d e anr a-d answe rs en-e red '-v ThIe par~h

i7. we e ~r e~ c o T- e I f mc n r om e re x mo n t or see Fig;ure ~ .

~were dis ',afl -d '4oowe 0n r~ln to h

aa * zn r-aCK ackern,d _rore- ! hsaes

-~-<Irnet As-lerisa -s ro the efoit a- I -- a sets .-. Yhe

'A7A SETS men~u contaI-ns Ions KJlata se-7s --. a- rave s)eer

e displi .rv to_ mak~e rncom fo)r wther cdlata set-s

.ee 7.areidn a arcas e a wro Irest~3~ -,es c : a7 ',

e~'~e r'ac e S * r, e- '"ed i r I

Page 38: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ENTER TO, , ENLARG A ' NDV

ENTER, T'O7 REDSP.' A DATA SET

ENTER--' TOCT AN ANSWEBR

1Y:ESTI.'DN M ,

nat us ,he :ial nuwmber of ci_ :es and s-.aes

:onwained in: dat se t s h .ac &

>a a

'..-s 3.cs'-er Is l,-r w? SI& 1w." Key 70. lorn n'.

Page 39: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

* -

I -~

-' I

I I

- - U >~) ~

\--, ~ KJ -, I 92

9 -~ U~-' ~i -

K) -j -~ -

~ '9 - ~-

2-, ,-, '-~~ ~o D -

~ ~ K) ~ Lj I Li U U

- ~* -~ - - ,- -I

- - ~- ~- -~ ~-, - -I

Page 40: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-~ ~~ -1 V( 2 - . i t

Lia :as S m.e !ne-n amount, op mpace r- eq __ '

;arrotsofa daa Set was the same a s tne nmw tar.allt

171 -,tY nat aSet::S r equiLr ed- ltesae for- c o m Le dsl a:

rr e qur red, mu: larger amon-ar star e '.a s et n ts ;-etr

-maf: :straaed ,th a stad ar C dev- a on e qua t o one frou

me mean OA St w t hetidndenpendent '.ar atte re ee.

e-nc: --at7a s et was tested a t rwo I ,. e Is low and hlb Inh te 10oW

ereeCnc-case eatctat w r, 'e r red to r et rl1-ee i nf o rmationr

promtwo -a set-s at- a iuet eterminre lfact-s e~g - hat i:s the di:

-zsc etwe the toa iber of trapezoics and rectangles containec

d7 ,ata se:: Z and- th ,e t-ota'l inumber of circles and parallelogramns t

Ae di it, d ata se ki-1 h igh L-nr-erdeoendency case tw-o to fer

a- et ne ed e to) he a c cesse to deteP-rm ine P fa ct-s ,e . r.4nat Lstt

-a nn er of sqluares cont.Ial ned rn d4a t-a s etrs t-. oa. r., a nd t0-Te

aKse--, employed in the 'low and high data set in te rde; enrdenrcv ret

rett onnton ate :nc~aded .as A;rpendilxP

41:0G v maae.. apra s two -£eest nat (et er vrr e

- -; --.-. . .

Page 41: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

/

7/

//

///

1~/

/

:7

I,

/ /

- ---- ~-1~ _________

F!

//

V - - *!-

f-~

Page 42: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

w -~ ?apazement sws-Ems nmp'i$5 e.y A vi;Kt r-s tdSK, Oirp T li

inn-rm necrossinog At two .vels DI window mana-mp>r ac root:- dana

inryn.i4 to 7ese elltt iask blocks waE nont craloapd a' oss s.<

OAC? En P :n es- eilzn: taskO~O blcks Cqirei tone sut'ect cexrC

.rrst to'- srEqwring th qSect to use to window management so-stem to

secermre 5;e,. fact 7ro § he 2" data sets, The 36 sub:asks in

,ah'eatment condition ca D ivided into two pn:ses.

The first phase Acncd.en the first in subrasks To complete -he

tfirst subtask the sutject na d to open two windows to accommodate two

:aa sets from which the sur,~ect needed informazLon in each of the

ond loh. -tQ. 7h, Pth, 13th :5th, and 17th subtasks. '-he subject had

--en an additional wirdow to accommodate a new data set from wfltst.

7t.sub.r'ect needed information. To complete these ana the other sub-

tasks in ALs phase. the subc" might a'so need to enlatAe or rpoenr

.,-Iqs Enarging would be necessary if an" of he windows cna'nri

:i-d set 7ecessary to compiere asurak were 7no nro7adipv -N

.1 n 7s of the associated9 a sP7 Rpoene' -q -1 be pece<55,

it .v A- r Ae windows contaiin da ta sets necesa& nn-eepa

7as were- .tnaticallv clase The fis S s'>'~ wr apzrz

i&-55 t&O" PraGC4 ;F idw i te apenn' on n '":n al suhask

'ns7 - KSW- A -r~ InyA"' o ,,OA

Page 43: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

* " 7m W 7P .rn 0 -. . . . . . . ..n! 1ma fop.T7 M

27: ~ ~ ~ ~ ~ .'TV -. sz4k l h s , -" "" v m l , - Y

-'' wa . ..y~ .- im !:] Cn 4v of :no d 'l so. 77

a, io s r 7n443"'.''4' co - e a Hn -R was. ana wia l c4ciK 4

- ' ' so er was '4"ne n:-- fct darT i"r- 4 ''e utis'2..

41_p if -o -sks :n2pr' 4ces A 2 and I Each s" as. ,in-

7ikr r%. p&" ca.' Rof'r acK v 'h rs h.saks a

i~hs he 4'~ i ~ - n- -e -a ; r y :T e s ..- *n :

in *4he pr p...4 .1 n".. .4.

-.- n ... ,-.- 1-.Y .k........- no SW -

o z. . .. 4

Page 44: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ccc ~ 1 recr'e aC el 'Dt tet ecn.

r'irru;eed I ''. In e de aut at e arr-gz

s- nt as r: ?,u ra on a~~ waz, Cl~K mI. ~:pe

n ma e ~ n %W tilc siu e i waes e n o erz du,

.e a''e Toc llu e de T m e s pet P1 n a r widws.nd

cc -~'- e" ew n Ic ~e d th ie spent- enargng os

c ~ ~ ~ ~ ~ ~ ~ ~ ~ t g~ccr~tm o 'c.cc ~ r o e windows

Taa s5o Ir D ime -is -- e -ime -he sub ct devoted to determining

t'e -'pcf-1' t a ",:S r eque s :PC orice he had arranged th'e windows -.n:o a

SLi n ~ -C, per .- r !i -a

I,:PrMt Se; 7 27 0 n~ prrv ous Iv s tated rese ar 2h vpotheses. ne

c.~ easres~er *cte-r-zed as follows

4 easures based on the performance of subtasks I trou h 18.Sliltasks 1 '_"rough Ii were performed under conditioins in whlich

-e numoer ot wincows on t-ne display was less t:han !:he mean:_mber of data set-s that could be fully displayed w'ithin th-eaea available on, the video d~splay (!Ix.N - 2x5 c

~'eas-ures based on the performance of subtask 19 -..,rough 36ese subtasks were performed under conditions inic the-_~ner of wi ndows on the display was equal -o or great-er thane mean nu.mb er o f d1at-a s e ts t hat c o uld b e f 1- - s I av ed

thi7 the area avai lable on the vdeo d"is-.I'

''-aurs ased or the overall p-.-formance all s ur':aS ks.

e me asu11r esF rr'dc a, overall indicati or- e 'a,- acve

*ln c c sc te w 7-l ow m a r, A m, r i c

Page 45: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ret c~te Iease -- rn:. c <' .- t:t

a C..r. 1 c( e I elt CS ott3IT

CTA ~ ~ c stsa:on aw r~t~~c c eto c!unc. x man acE, ient

A --a s s

A tee t-ctr -'--rttr - r suet a na1%ssis atva r--an e was ret

e c e rm IncE votch windo maacm e nt ap pr o-a ch ro v id ed t he mo)s t ef f5e: -

-.. .~ rr~~r ctrfare nd er e a ch in the four -ac o :s:- .ma Kn

s.enr: sarc c ur'.peac of -hie wo ,chases -esred Less tht:1 is

ax-ed 1,3ta s et!s a!,,dJ z> or , mre ds p Ia,;ed d at-a set-,s * Analyt-ical un

-ar-s~ -were pe-formed., wnere arrprt-t et~ermine telocu-s of

arty, significan: Lnterfactrons among t he -independent vari'ables t:hat. were

Ae tf *e d byv t he anr.aly vsi4s of v a riance An analysis of vari4ance su-mmary

w~ s presented i'n Table

Page 46: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

S~~ 0 we, L S

S mS

Q 'A

Sx S

~Bx3

BS St Mt. MtS

Bxx - 5;. M Ss

-x Ax!x msAxx

AxBxS a - I '-I; SS Rms

kx x Axx ex

BxC (- L 5 Bx Msxc M

Bxtx~A C x-i SI An-I C3 MS

BxCx3 BxcxS

a- IBxJ a- - .-I (c-I; 33 ms is4M- ~AxB-x(7 Ax B xC xx "xx

Ax Bx -:KS (a-) I b .1 - xxxS M 5

cc r 4)ndow ManagmnApra

cr >ata S>e .re rdea r)vr

Page 47: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

~~:-m opnetrasu I[ 's we m

.=tr f indlow managemenvt or;er.7i.ons , 'tre

aarzed se-ararel';- for the m h.por- i-c h te tasK 0r' reo - S

art ca ra s et s Lao bIe en ds P hi , td o n 1, e s( r Pen, .e r e-a; -rice r 2

rasKc block w'>e.- 10 or more data set-s hLaO b~eer ls' y:o z~ ore

and 7he entire -ask block.

'ondow Manazetnenr Tme and ',,'mberof T;indow.. M anagement Or erations

"esTan 10 Dlsr,'aved- Daca. Sets

~ables, II aind 7l contain '.he ANOVG'A summarv zab'es for w'i-dow man-

a zeel tltne and number of window management: operations, respect iver;.

-~ ~ndo Managamernt Approach '-,) x D)ata Set Size araLrv D%, x

-e-- :nterdependenic; (Di) interact: on is s igni tIcan-_ -c ,,a

r and 10 der ict a-_'neacin o nn

irot management: operat,.ons . respect~i'e. S ,tr:e -e e,-.s es

eS T andV)' indicate tha the simple t A x Di inte ra!C: s

fo r bo)th measure s when dJat:a s et- s 1z P a r iab: liz:

lesrs indi cate tha 4en data set_ size varlab: ...

aPr'ra achn re sul ts In s i Pnlf Ic ant> e s s -.'ndo- w mar~ ze. P e.c

rma.nor i~ee I n o ons nhan) the -'al Ie arip r oac Li -1lt

re. tn IMOre C- t i~r> ::.%re _7:~: a'~etc, ;e:o :aV 4 t

Page 48: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

"i+•j~ 7 1 7 ___, IS. -a V t,

r sa'--A,<

.4a.C. , Set iZe

-v x s 81b.

.. a:a. Set "l;ter-tepen de nv 61 " *t._ ' .. 19 2.. 0 '

_.1 x Sub :6: :6

sz x S. ub6 .6 18 - .1.- '3

A x , D 1 3 12 9

j....6 X S u. 3 P8

-v "..fr-,4 0 . . '' ('

Page 49: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-c r~ -

-05

-'".-v :< tr~ -. - - -, '4-

- -, Db (~) (\ ZQ' Th

- - -q ~w -- '4--

-J *1-.

A -

- -- ~i 4- -- -' j -

- ~K ~X' ' s-A> 4

Page 50: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

3

0 - -

- f

~

- E

3

r.

3

Page 51: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

--

0

- - - -- -

- .-.--.z,,

:3

z

C - ~-

3

Page 52: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

Z. . 7.=77- - - --- -

La n

'.4nce DLV 0

laza set lnz.ef- ,. --...

A 1 DL . 2

Page 53: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- . ra sr"

SLe ~L': cAI& . .:',

A" -0oach .

-! en eaa s es ze .r i.a t I

".'ro c 0 d .C. r 2 ? 3

Data set 4n:er-

e er dn .i 31.1-

Page 54: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

in d ta .a se. ~ . s :--,e. :a i:Z:Ildc 'S. ... :v-e

1ob a. apnpro ach is sensi -. ,.e aro chanes in data st teree~exx

". ;Pe r.on a r e wi -Z- to e l~oci ized a pproac!h is :t sens 4%P

Th s-rp e - ef f'ec ts ~is s on 1h e A x 7 vx D i Intie ra ct~ c)tfeveai

s ,,e main eftect of w Jndow manageme~ apra' r zoth]

~ ~tmeasc-ires when. da-a set size vaibit 's low see aDe

-' This ef fect irdit:aces t-nat whe dat se s-evraiisI

..Dw t e 4' obaL a; proac*- requl res less w4i :;dow manag7emet! I ime anid fewer

w~now -nanagemen:: oera - .s t-./ s and 11C .;( operati'ons ,than the

.ccai iLzed approaci (91 8-3$ r . :- .4. operat tons regardless of t he

~evel of daa set Itreenny

Te simple-effects F-tests on the A x Drv x Di interaction -.lso

Ind"-cate tiat- t-e simple main effect of data set intetdependencv is

'E~~fcant for doth dependient .easures when daca set size variabilit.'

IS hi h Less window management :.:.Lme and fewer window management oper-

jt-.ons were needed t:o complete tas;ks when the interdependencv among data

set:s was low (9S.d2 s and 14.31 operations, to-an when :t was hig~h

o- 6.3 s and 16 25 operations. Thle signifi-ant simpe Ax Di inter

a:k - or.n r) w ev e r. id ic ate s ta t ts ef f e ct is vali d On>:- fo r th;e global

oah Performance of the Lc al Ized apoproso,.r s Lnsens It -"e t

:ange5 i n data set ntrpedn;when data %e-iz ariabsL It'V is

.~ 'a '~r f window maavpmenta-i sb i K. Se' slIze4

In r~~ forp. 15- n:t.r 'd

Page 55: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

a n-* j. i~ mer

Page 56: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

--

/ -

/

/

/

//

//

/

~2> -- - //

/

//

ow H:;>

2 -~ -

Page 57: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

:4.

Page 58: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ap~ 5a reults ip less ira mL~''a'gemF27' .my- d~d fewer WL~dow n:nemv: n' ea! l °: -:!a .. 1 .. Z e- c jp-r- a . I r: wne * : 37 Set s-l.ze :.

S:n~~ i w. 1 to ne;Z> dlifferent from the locl.-

iza apraa w'en Qn3 ~in,;size variabilinn is high Aable 711 The

..c.r fiz A x D% Y Di: '.: -era,.'i3:: indficates, hnowever, that th'e laiter

re:i.t- is .::-n:n eit no- s-* i~nnerdEpendetv Specifica.:w the

.ninple " -Pst,, of 70 e Z : icate that when data sot size -ria-

.l ',v s n.L;Tn ",:' y a, roacr results in less window managemer.

time an... few'er ': :dow maragement operations than the localized approa$ n

if data set irerepende.v is low Yhen, both data set size varrabiliz,;

and a set r are n. the global approach results ta

more management time an, operations than the localized approach. The

sivnificano A x Dv interaction depicted in Figures i and 12 suggests

"-at when there are less thoran data sets on display, performance with

7A globa: apprcach is mo-e sensitive to changes in data set size

var -an" "o than performance w ith the localized approach

The main effects of all three independent variables are significant

for horh window management tIne and number o window ma.ni.ement opera-

. _0r4 ness window manangement time and fewer windo6 management opera-

-:. n- were needed a cnmp:e'e task, for the gjoba approa 4 V s an,-

. . erations -&v tor the ucalized approah QQ q s and lI ,"

....- A"rs Thne '.rterI :>:I A x Dv x Di interaction :ndicates. however.

7- , ,r e- -',: ! t ror K .,eneri .: The lc:a ized app rna'h i.,

:-." 4 0 4" ppro c ! sizer' . dj" . .- -i-s - and

Page 59: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

'A-'.--- ruA -'> --

4-..ViwAzemw ITtI aid NunrueY 7 A . V -~, pe~ yr2.i

IS

.- aua &

5..

Cd >9

ma - 0~

'I - .-) - I:

r A ~ -- Morn ____

e ''artali: -i vi:

High

@5! - hI 38

('.1 - Cp - - .~.

Page 60: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

sanl 'lp scc .A

te 3 0 r. Sr~ A a C. .trcunn. :a e S ',e'~

erre e dos n o t h c .d ~e e r aj is d e t h ueirpr

mance f thie global approach when d4ata setL Size v-a rra~ -is se

tu re s I ard- c 12.

.es sndow management timae and fewer windli nagenent otrittocs

Se r e n eed c-c! o complete tasks when th-,e int'erd!e-erdenc-x amoni data set-s

w as cow sI' i sn d J: operatio ,ns t han when was '1, 86

an1 t coeracions~ The under'.- ng A x Dvx Di neatinsuzges

-- ,a- -I~ ea~ s due :rmrr o improvement:s -n thne pertormance of

tne gloL-al. approach. at ig dat-a set: size variabilLt',; when rtedpc

dency~ is low rather t:han. ni,7!h

* .or M!.ore Disj-l-tved Dat a Sets5

abes Y:and IX cont!ain the XNQVA summary t-abes for wircnw

targemnt ime a-.d number of window management nperattors, resoec-

: The ;ntera( ion of windo management app rcac' wid ata s-

evis sl'grr . -an ctrr, j measures. e anPd

.- erac-t on to man~tagement t-4.c and numiber tm-dee-'

a, rc r--"c.- e It;-res-s sh-ow rhia-

i - -e' ss wndow management t ine and fewer w.indow

la. ,AatM.-n- ompra~lors at ~ ot t asJinK rde

itt- '~ r~ s'es.howev.-er, h. at ! '~t~

S-.ppr'ach 1 -Es en

Sr ' ~ ir - .* 7

Page 61: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

etu .a Set.,

se-rc SS

~e e .v

x 's2 )

x x X ub - zs;

Page 62: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

:able lX AXNOVA SC)ax T> Nun L

Operati: n's Ten or More Disp>Iavetd Da:-i Se~s

Sour e dfS4K

3e- -een

-.P,,proach i Q, C.

-a~ Se- S--ze

xSub 0

.a!:a Set ne r-eoendencv -Di 1 1 72C56 00001

x Sub 250,94

:)-"7 x S Ub 1 i15.5

L 370 56 12 33009X~ x Suh 210,4

-. L56 0.81x 0' x Sub 91. 4

X' Dv x :Di 0.06 0 964"

'K xv X'.'x x Sub 20)4

'al b3

Page 63: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

A

/

/

I

//

//

//

//

//

//

//

//

I,

/ 7/

I-

7

7

I,

7

2 7

/

7

7

H:gh

Page 64: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

/

//

/

/

A-/

/ V

/ //

- 7

/ //

/ 7

//

//

/7

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Low

* .~'....

Page 65: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

" -. .t . . . . . . . . . . . .. .

'." ,. S- . -_-.-. ..

Page 66: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

--- jr- 2 *' 1C , Y! -Z

°he loca zed apr c.-n

he main effects of .:: . man ,, :Tk Ed dC >a son l.ey-

:ependenc;" are also significant for window management time and nuber of

"iqCow management opera-t:s .Ass window man.agemenr rime and fewer

wundcw management operations were needed no complete tasks under the

localized approach 289 6A s and V 6 3 operations than under the go-nbal

.prcach -. 2"s -nd V3 :0 operations Less management time and fewer

management operations were needed to complete tasks when the interdepen"-

lenvc among data sets was low ut ! s and 50 66 operations, than when

in was hin (09 6. s and -3 .- operations).

Entire Task Block

[aotes X: and , conta -the ANOVA su4'rnarv tables for window man-

aemer,. rime and number of window management operations. respectively

... ieraction of indow management approach with data set interdepen-

dencv is sig.if.cant for both lependent measures Figures it and 16

eyi-* ihs interaction tor management time and number -L;t. management

:erations respectiveln Multiple t-tests show that tre ,oca ized

t roacIr reso:lts in less wintiow manag--ment time and fewer widnw

-a iagrer'. operations than the g ival approah r'r how :' and hiq:

a,.- spt interdependenc't tasrs Tahle x.l l U iterac i- in uces

w.an i-e advantage of 'he :ocaiz-d appr-ah over the gi2oa app'roach is

wron--- Ken thr e casks are ,ie,v interdeperdert Figures 1 and >.

,', :w ' .ar t eto.rmarr-e wi - . ; .bhal ap. n is more se -si'.-

. t -' ' [ :, ,

Page 67: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

So,."u. ce A..S F p'

t czt~s Sb. 303180 .8

Apprcarh -A 1 145772.19 17 73 .? GOO4

A x Sub 7 59223.51

lara Sez size

",arfanillt i ; 4 " .C) 1 6 - 0 . 20",

DV x S:.b 9:8

:.ta Sec inner

mseVmc o, I 09 37 7 .000iZx Sub MCA 7

A x D, 15402,36 3 .03 0 08-7

S 0-2 -, 27399 51

1 34117 32 26 03 *D C.x V x Su 7 9174 ,5

- . 347,96 0.10 0 . 7618x' x, _ W:i <. 24_ 525, 00

k x DA x A! 3053.53 0 63 ,-25

. K- x V x Sub 73786.36

Page 68: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

'able Xi ANO'iA S .;ucar.- T .I e -:r ':nb r . -. '. X ..£::e:

r aer a o rs Ej. e aSK <C,.-

Source SS

3et.ween

'uJec ts Sub 7 7

dihn

ADorach 'A Ix ub 190 914

2a'a Set Size'ariabi.i v 'Dr, 39 06 3.71 0 0959Sx Sub

Data Set T-er-dependency ' 18428.06 4f2 0.0001

Di x Sub 261 9

A x Dv I 96.00 14.22 0.00Dv x Sub 96.50

x Di 400 00 21,79 0 0023Di x Sub 128.50

,>,X .xI Di 4.00 1- 0 6845x Di x Sub 156.00

x Dv x Di 18.06 0 66 0 4.3A D Dv x x1 : Sub 192 :,4

oa 6

Page 69: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

p

/1

//

/

/

7/

/

/-~ - / 'A-.

7

7

- 7

/ 7

/ 7

.2::- J 7

- 7

7

*1 7

/

7

7

7

7

Lc~w H: ;h

A 7 '-.

Page 70: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

/

I

/

/

/

//

//

/

/ //

///

'V

/

/

L ow H2 gh

.- - U

Page 71: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e
Page 72: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

inc 1 Alwv v;1;;gn;7- res-.Is in fewer window~ Tanagosier; q:

v 7e ! wa d; a: ni fo h:4 o and.; Aig 4'%t set 2 '

a -IA7 -ak 7..llc able Z7~ Oir 1" SggenSs Znat -he .s7-A.ZR'

siesi I4 als; -vggeso tar pefrmancE 's i'- -K g~ta

rnaaceK is Tore1 *-t7, no' nan: -sa in- n o ievraiiOr

The ma,-: efet A~ .510w ianagemer.t a pproa- nd cats set in;,: -

-rDeteri-v are Zsa Qwitli a-:: tar window management -ine ant numbler ofl

-. .. ov management vperat:: iS Len -Swinodow manageine:. -t.me and fewer

-- mvw manag"'een trt op -905r wo- needed no compclets tasks -:nder 7ne

- -- a. zed approaen bh0 6n. and: %6 01 ora tinsi than inder the gloha

<Yr~A -n n i ad 9 Z- rertio4 Lssnanagemrnen7 lime and

P_---e7-raaeMent ape raIT..ss were needed to comrplete 7-asks when A-e

'"~ t.±7-e7-.'&efls;wascrowdacs So2 s andn_ i2 Gperatilor-

4n w4t9 1' ashg Zrmsad" 6uera'on

7al 7 nari'en7A.Ma' a~ 3r 9' t3- SA:1

T ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~~- o-ak-liniTit esA 1m ~n' w ' pa 2, anyi1 W t m

Page 73: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

:,Ow F 1gln

Page 74: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

hA.

hA - ~,..

Page 75: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- -. ~-1,- -C

- ,-

- - 7...- -a.

-. i c- !- C,

'2e bLZr

as; - LW- -> - - 2 - ~- Cd

-- 1 -' -

'-tens - -~ - -'-Nfl-

( >1Z -

0~ ,;,-> <

- vi -. 566 0 t

-31' ID - -7.,-I -

-. '-)

a- -

Page 76: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

1 4 .- c :r1 v t< C Z a w e !- -a - 1

ilaSTiterdepend.cency is aCcsg~fcn ouintmswr

-nane We e 'nterdepenercw amrn . a~ sen was Ao Sl 3oW s. .3

V-pn ~. in wa hihF 6 rediciv window management4- r~

*a :1. en7K ie :ex'o~ed 10t. rmnn r .&o -v inf34-

-io r e a. jr:70e w:cow -ct....ra7L= has seer: cnip-t'ed

TA v respnts toe "aA n~n~W v nr rt.r- ---.ro tim

wher. ten or more da~,a sets ran oe.~n t~splaved There are no significant

.. zeractwsr effects

.-ne main: te~ct At data set size ;'ariasi:Lo it is significant L.ess

"ie was needed to so tve task.s shean tbe data set size '.aria.ili. was

:-,~~~~~ ~ ~~ 52.2 7rwe :wa ih142 s. The main effect ot

:da eiineyepndnc i also sigificant. a..-.-t:on -es wecre

sn..ct-..r when use interdependerc among data sets was low _14,4. s) than

ar-en in was high 471'69 s) Azain. window managemnet aptroach has no

offe-v .e rime devoted to determining the reoaesedintormation

to-ie Taske Block

Tale40 ontalts twe ttNCOs..mrar7 t04~ for the entire t41-k

7ask scl.ni.ttr tiames nhere are :no signi ti-r.: inr~ractrn eflects

7e main PHC& of data set size wsr:awilisw .s sizi~rS, Lvs'

1:7'- was rnveW '7 Vc-il e task w-er. toe toWa so, S.:e -a:,-~ W

Page 77: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

K .Su 3 f

e9 2 1

Ae~6-8 5 .

183 8 t

Dw x b

Page 78: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

x v x '8 8''i.t

.* ... ..... --------

Page 79: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

Ta~es XIXard KX present we A-'(-; 's _-'nsr.- e

:iszta3ed C '- screen tar tre remaindter at one t7ask h..ck andl for

r f..ie -a,& 41ac? :es-w"l.. ze. NA, Q: Q e it.C&QCMSC' varaoles.

eityer ~ng§:vh an 0 o in.>. -cbPtno a - -K th e -ntmoer of : ncOFrect;: tisr

Y;Clutnto S '-V-.e AT. ope-- men: :rwbrers At Lncorre. t task so!. -

7ios e~vr 12i each 7rjtmrn * li..r tar one initial aortoon of tnt

oas< block, the remainder of 7ne *ask block, and the entire task block.

7e mean nosmners or incorrect soluitons5 are generally Low, not exceecligz

_Q te ask blct? in an'; at :4e treatment cancd trans ;ou t of total

-1 ns per tnssr tack ?xe maxz-.mun number at inCott .i soluztions

-oTierr't ox a sub-ect i a. nr -ren't cndtivon was tour

7a> M novn 7hmar -AKA tor toe tts. rime

n :n&-ticiretv Ke :asks ThisA meare is toe s,-uTr -- ' >_e windas

4 o,1vvmer- and - -3s a>.Is 7imoe The nreractic. of wtni

7a1.rme''rapyaco WIn laaso Scttop Tvcahir..t is s..7....-.a.t

1- -- - .. , . . . . e~ W 7ni - l.v< . - -

in r.-Z- - - - -*' V"'

.K 1 . . . . . .'

Page 80: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

* . 4-.,.., * . . 4.

F

~e ~ee:

e. ~.,

4,

a ~

~ ~e: w.~r7. . 7;.-.

-~ x S*Ab

x D'z . '78 7* C C '. - t, 4

.4- .4 -i .. ~4

* x ~ 4.

44,

Page 81: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

' nr e 2sIedData Sts

Sourc Of e F

2e t:wee n

-2 4ect.s 2 3

-: trDacn ALC* 7

Data Set Size

X S

1~ec~ 39 026 02 53

x Vu

rx S,, b 2.36

D0.0 2 8786x~ 36

C) 002 0 ~ ' 88S50

2x x~ 2 86

Page 82: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

Task B' ock

Sou)rc e ss FSSS p

A ,rachA e'*- '7

A x Sub

ata Se- Size

3 xSub :i

,ata St-t int,-er-

dependency D ' 2 0 0.9298x Sub 12

A x D7 Q 0.02 0 .9I"A x Dv x Sub 6.61

x Di 1 0 0.28 0.6115- i x Sjb

x Di 0 0.:1 0 5933&! x D x S0b 0.461

x Dv .i 0 012 0.6702x Dv x Di x gut, ,498

Page 83: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

a . --sn:ar,~ ~ vi aast

Loca!4ized *)ooa~

Low ;nter- High 7iter- Law Inter- High Inter-(dependencv depenaei.cv Iepende ncv dependernc,;

c" w Sizear at it 'I 15 85 806

High Size

T en or more dsaeddata set:s

TLocalized G o a~

Low Inter- High Inter- Low inter- High Inter-diependency dependency dependezcv dezenderncv

Low Sze';ar -ao rv 1 3 8 11

H 7hb S iz e

tva-) I

re Yis nPocK

ADproach

Loc a1Z e ( LotaI

Low inter- High nti-er- Low intcer. HI Ier -d ep endnc (iepen,-denc-. iependen c';dpndrc

2~ -- W

Page 84: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

, Sub A;<6

Daldata SetSze

a at-1

xS - .

.a Se n'zeLw x S<bit" T4

5a Set Inter-iependenc'; .ni -83083. 7 3 3Q43I0

x Sub 33693 51

x 5v -2919! 85 03 <03>D3, x S'-ul.)W 7

:.. :< D{ i6 {02, ':" 3

x Sub 3 1u-9 33

-" x Di t 1387.56 <-.254x x x Sub 3563 96

- x Dw x D S 5909 ,..1 9.8303A. :< x',x b Sub 7'9056 6-.

-dl £a[63

Page 85: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

A

Page 86: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

t,. 1

I I - A.

Page 87: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

Z. .2.Z -

z7- '16-it

-es -4ME: s 7eec : C-o~' e7 e a SK, C1,

7 7- ~ ~ U

Page 88: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ANi e- l D.~ r: r.

7 9

37 S0 S9i r~ bL .'-.

' :; "" {,2-. '- - "

av Z S -- . :'- i

. -.7; 6 "> : 4 i --I.

*- , ~ 51 7 ,8,1-",-, .--: X 3. ;( S:b : ,8dB9 -.

.:1 < <v,:C 77 0 }{i A2.. 'i 7:-/ ,'. A S: 6 . 8 ,

* Viab}

Page 89: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

, -, e

' X5: Set :._r

de e*fde .-. . 7 - ,2 ., 6 --I0 0

585

.>: A Sub 28858:.5

£ ?[ .,'Tv 1 ~92009. 63 " -

-.. 3iqS: 2 "_a -

I. , D, k - ',1 S- -. 28,. (-

Page 90: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

Sr - 7h sq en-v ~ -ws a a v p i4 1 -1 .z

it a:lm s l it. .5,,i .S C :(i: ' ,i'< .T t1 '" 1571_ <-' -- > .. & .-

.01 I.s 108V *r : the comrarts,_s if the nwo w'.G- w Man. e

rert o-.r'acnes were , . 7o be significant fo-r anv of the -rea-mert

. re 10 ,.C sion ofr -he s -ud each patti K-ar't as also askew -

ran. tOe !wo it-dow manageTen a" -r 2act, s in order of over:. preference

rpr,cx E Six sub'ec-s indicated a preference for the localize'

a2 :r.an, r.-Le :Two u-e's preferred the z.oha.. approa'h The Frid-

mat. tMs'- rrons 1491 was .sed .- atalme this data with wigdow map-

aZemeC approach wte to. --r of :rzerest and subjects the blocking

Factor T.e res.'Is of 7.s -r.a-vsis indicate that there is no s.nifi-

:anic difference n prefer eee bet'ween the two window mnnazement

.;Proacnes P - , 1

Page 91: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- - , T > Z -.-,cow m .". e.- .2_ z

e 1 , -,- ,a- .z-,

ei a- se . .he e.a.- ''e e::mue,:&se~ tes of ti Xto e"r 2do ,fal aem

a< es e r e- r e.av-e e r,-- et so n te - z o e ow - at set

a,: e a A e .o- , te r a,, .I e sizes -t te data s e

:- t.i ,e ':: ;- :':,: te:- t.Asks . -, Pi t e level ot :nseraepecder'cv amonu:

--::, ta sets .m:e tec .t5_ >f "e >ru-d; that lead " : .e.-.-r e~:

.5n>7 - A,Sv a: e a: --.- e

""~ ~~~~~~~~~~~~~~ r-e S_.' kt ,Lt' a ' ' :. "",7 -

., a ;a< t t " .

: : ..; ,: '. " ::, 7L '" -- ," s 1 '~", '' r : , ,;" , .ie - ke : . ' , 'j <

' " ; ::ese :,1'*M-'-..

Page 92: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

e- Sr S3 c l , S ere o.~~ ~ z. r 2 t. e -' . '.a- , L -was "'W 7 '- r--< : _ : e sS:,-

aram

[ e S E. s , *r C Za_ a ;mp e .r" ::1 - S

r ar

t: 2,:a :: - pv:-, - :' '_s '.as;tre~ a '. ' [flat] r :atet n '[ .et gor.'~ ner v

3 i". m iS a n

re-. S e-' e r a e 0- d a.n -.1os d e:s a a

: ar Z t" aS.a:[- r ed data sets d data

st s, czet dap-f' < m TA> .... , 5: 1 , .e Is t~eu; that each o e " ; -

S e o s a e e ess M tat j p-S . - a e so a e

<a>~ se- -} -, " A: , &X ', ' :m, E P do . reeds tz ne en-:'arz d or .,a tea'

-1::04 reedls t~ re o1er-- '[ne sma. ,, sta-e '[-at at be 'een

Pro... ea t- . *<w:ilnta xi -,rfl p.;: 'ti '[,.e t 'on '--Cr~d -T - "a. a ,,a :

..... r i[ (I A 5 <

-~~ ~ 3

ai e> '' r a- ia-

WT. ,o.A

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7KeZ-On 'rt Kasin 'Ithe resear<-h hvi;te:'; -.S'

~~o'.et te a ex.Atzaz r). n17A- and:r eve.t incrase -e N-. W-no v

vrary!. fipadthr r Les 4a ax win'ows E7.7r . 7:x- is..

T.e sec ow; reseatcr hxohe s stated 1:i Char%. r 1 prpGcted~ *hi

ta,-Vr t.9>- :esz :Kan VwindOowso 0: e 'Aispla i h C .ca.iz&. 'w1

tnh7n ars set -.. :- -uariail! v ands 7e s1r set V r:ieperder-

were tt7 47:he renal -s of te study support trts r. .esis Zner Less

-.ac '0 wndow, were on the d1s.w arts :urt dots set size varin!!,

i-zqVa so;. w - erx ~ere high rte localizred apj- n

-W~ M ~ dow tanag-In ne miire ad fe20waer wi 1604 manaleern

- nnbi t - It]e nv- .s a i e .h.,s se.e 'VI rta da7,r

- Ac Pin - 1 s'& 2 il-IV: An; S0M1d "IM w.-. a

lea, -n- np - t n V i e.e n Qs lvn.r s

ii' w l -r-i WPr-i.> to-rC n a n Mu h e ~ s p c

-. r ! n.'.. 'm aSK are)" r 1ft 1 qi A* Pro 5 pp iS

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SO Ora a Z we . s :,:' -' ,M- 1- 7S .; nV -a! do S fr:m in., M ..

tee: Tne needs *te cre h ea i and i mav be sossi>>- t "ake space

of the .nperation Additor'a enlarging operations may be necessary on.!

if the data sets assoclated with the affected windows are needed to

complete .ater tasks Under the glubal approach, more windows ,ouid be

affected K: tne opeari:ons, increasing tne likelitcod tO at wirdcws -

uich excess space wo' n be reduced below the size needed to view-

7ne-r ssociated data sets This in turn, would increse =e like:?-

-cc& that additional enlarging apeiations would be required t- comp:ete

-Ie c rrent or later tasks when the global maraecnc approach is used.

r-h.ime the study tested a si:c'ation in which an average of N - 5

data ets could be completely displayed within each row of wirdows, the

gio.ba. approach would affect even larger numbers of windows when an

existing window needs to be enlarged or a new window needs to he opened

and the value of N is greater than five Thus, the advanraze of the

locali:ed approach would be expi -ted to hold, and even ircrease, when N

Ls greatc than five and theie are less than MxN windows on the dispiav.

No hpotnheses were stated for the case in which there are less than

K: w,:dows on the iispi&: data set size varfabilit" 7s V#,:h and data

,et interdependency is low The -esunis ot the study indi'ate UWever

tita whvi -here were *ess : .an 1 windown on the display . e

wi.dow management approa- h requiLred less window management rime ,Fire

and fewer window management oppra'_imus 'Figure 101 than the .ocalize'

sypr,-h when data set size variabilitv was high anc ,.iaa set inter-

,erdern was , 7 d, ifM.e:p-P in *rtarrmanc e'Ne~r =v 'w" -u

w maraeme - appr'a hes while sinm.:-rt, w-i: s'ah'a, " ,

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r2~C v r. -',~ e t- .~~ eG C a.. 'I a * e U

--i i~ e c'ks- ' 1; . tiferre.es cire rc>:i-_vel, small -here i s -

r a :oriectu-'..' 7 t -- te ao':a' a, t n t~ g-Fa a oc. I

1'for -,Lus Df N other hn --he .:tA 1 e

ECn'r Mr e L'9;~ Thia -Sets

mc 'a,,. --r w,_ndows were displav.ed simul oaneou-s~ i. ie d

:s-.a. 3rea as raverage, not- large enovh o permit 'ewi:.g- ofth

7n~.: cmet f the assoc-ated da:ta sets .The third research hvpo-

trles's s-ated Ln. ha;rne r I predict-ed th'at when thIere were ten or more

o -.ows et 1a c la v tine local izeed window man~gement approach wcum-.

e more e f f 1er t-(-,-ha-, tine g -o'bai. app rrach if the inte rdependencv among

,--a sets was 'Iig The resum-s ot the stuy upport thishxphsi

s ggest that. , e locaiized approach is more efficient than the

mtaocracl ee -r e the interdependency among data sets is low.

-_en. ar or more windowis were onth displav, the loca"Lized aproach

re ~red _,'es S w4 dc'., management time 'Fiui 3) anc fewer watndow mran-

operartIoas -iue.- hr he global approach eatat-

me -a S ~ze d a p pr oa ch o,.-er te globhalI ap pr o ach w;a s zo* maa ft

~vlsotdaa n , Irederendencv, but w;aq greater wiren 'L nt,,

.-_Penc-v among data set-s was n I n Th-e advantage o* The localie

71ac w, r nt a ifect:ed by the .-. I oat data set- s,,ze 'ra

e ~ast Zrr ~ e*h:rdh.uthes. s was titwren te :s no'cl

zn i- is n v areu-a 'n a-'e r~a e . -o perm it a~ I I p er w nc w a ,1 t , *:p 1

ro- nttr ca~en~s<,tthei a:,o~ate iat es' 17 Is

~ me sob:.rar'.:ar. t at 7 pr '1 a. Prr a'r .. ~ .4

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assocdte dat se It a: exust~2 i oiwurd z~ r.a

'ew~w ed to '- en~ e locaI4trod apprrazrI. a>; re O UCE o

~'-~w wndos elw7he? S_-e required to view their Ull on--nts

~~Leniarging operain L '~b necessary -11l-; if thne data set s

contanelchese windows are necessarv to complete tlhe current t ask .or

'-aks 'nder -the glolbal- approach, however S e -,e ra I w in (,0w s

-te rev t:ed below th,-e siz-e ineded to view thi ulcontents,

.. _reasnz te .!-elihou that additoa enagn oprtin viib

repr e d tocomplete the c-urrent or su,,-bsequent t.asks The likelihoodl

-,at adc~tioa P-.1arg-io g c)e rat ions w4ill be reaul red under the global

aDTroac. s partic;;Ilar.vni; ; wnen th.e Iata sets required to complete

t:asKs are ngl trd etdt.bec-ause in this case thEI Ifull. contents

Df: several data setls mrav 'n-are to be displayed simultaneously to ?ermi--

per formance of the task.

The stud.' test-ed a Sitoattor 4n which an average of N - r data sets

.c .mpIet-e'lv dispLa,.ed within each row of windows. IThe gl obalI

aot3roac-,eum affect even Larze: numbers cf windows whnan existing4

dtno w 7neez-s t-o be eniLarcoid or a re,. andow needs ?-o be open-ed and the

,a N is greater thian fie 7.us a~ adva n t age of th lcare

onPproacn is expect-ed to h)old, l,1ee ncrease, when N is ireatLer t..

7:.e InK -re ire M-Io nr idws;tb ita

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C,-NCLUS n ,;

Recom endat cns

7he obective of this research was to Aetermine the relative ef!.-

:or7cies of the o'naIized and global approaches to ciled window :na:-age-

merit ander each of several decision making scenarios. Each of these

:em:srn making scenarios is characterized by its location alone each of

:Zree dimensions

1. Whether or not the windowed display area in large enough onaverage. w. permit all open windows to display simultaneously

the re -v-t: contents of the data sets associatead with them.

7 The vartability in one sizes of the data sets required to

perform tOe decision making tasks.

? The level of interdependency among the data sets reQuired toperform tie decision making tasks

:-h.e results ot the stud-. of human performance using he localized

t :obal window aanagement approaches led to the followi7F empirica :-

.t:orTed guidelines for the de.-gn of window managene-i svstms

VTen there is enough display area. on average. to ye'=t all open

. 7;-s o display simultaneouslv *he rlevant contents of Tre nata sis

v .':iated wLu, these windows the feY owing nizernazi.'es b-ye

YQ-sam]hl:e .-de V

: t e vdziabilit; in the sizes of the data se-s rejairet to per

, .rm e de :ion making tars is low, An -.',-V w. - man ame t

armrcach is recommanded This recommnnda ion holds bnth whep r ;r.tlur

lepenenencv imorg O: e data sets reqi: red 7" perf:rm the "asys - s .uw ar-

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rt s: ecicto pe r crm te :eISO! .1 nar. K -.J. Ai- a

hi s research does p rovi de slf f icint sprot r a er ea~

-'a*- -' t t~n app! c abhe -cth case i which he d'ata set s z e :r

P- nh and thne z.!-erdepenclencv among data sets 4-S Ow F c;r te

ar 4c T! ion" 2nRri evr ent etdrce& < oa i.

mta,- 40en, apprc-ach tro'-ved fo- one super ior t:o -- e .oca. ized atpr ;ach

7-1" ce re I s n Ct e c' 'o e~rs ire. o r. a verage to no r mn .:

trwindcws to o14spiPav s4-Eroitar.eous<- t- e -L)'an onEr-'ts of th!e ila

et.s asSof-.ated with th ese w:diows, the 'o jijze-d windlow managemerit

at-,roacn, is recommended T-, s r ec ommendatr-o n nolos r e.r d Ie ss of tn e

s.i zf P- -.ze vriabi arn d n te rde pe nd enc amo ng teda ta s et s

- Lred t-o perfora the de-'.sion maKing tasks

Lirnitart-or~s and Su&Zestrcsfor Fu;ture Research

.. ;e research!, 'ovpotheses ct-:a--ed in- Ch-apter 1-11 were -so pporteo

emtic v by he resuit.s of th e studv repocr ed Ln ha:rrers 17and

.. e :i:onssare stated- fr a sttonin wiha rzxoibc 5rcwS

windcws i4s permit-ed on a display and an Nvr~ : "~'a-a cel-s

rc, ve i-; isplaved! wi- h-7 acr. cif -ese -'w ' e sdv cpc

r .- is vrid onfse~ or -ese wsse

Sr~~ i tc1 1 s V

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LOCALIZED AND GLOBAL APPROACHES FOR TILED NOSC TD 1228r, UNLASIFED WINDOW MANAGEMENT BY: JF CHEN, JS GREENSTEIN UNCLASSIFIED

Page 100: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

:,oarsims ~ ~ ~ ~ ~ ~ . 1a e a ,d K 7 w ~ am n h 7~ n h n i r

-z ol- -V6 rSSl' s i

re ' Y a* -IO ' u i7 nxat7 -7

-K oc -a 1D* "- :eAi p

Page 101: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-AN .7

I irdosiga ey S K -e )! -rad 7Ccw maer2ner ler l :

-an1 zat ad i io a .1ad -o a ld wm z zm n ,7

'Vori~e arnr in-which~ Av - r mad 3v ia l fr Y ind ttl

-Z 7e wi'--s 1, is C'ggpWS -7a "Cir 1Yv rn n a -

:P'ormi~n Avrhpr *y ICC-inin.r r l f rhn

O~ in lCvo~ej -to - uuT' n m-Cde! CwflCAC T apm

CtC-r ~ x 7 !w p k r ' n h p v AT :~ !Sm !

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7 s r7 n7 mlav r '

VA -T i-C I- -Iy . ;C 0 1t - , W

1A 2T 0'~ PY - r v2 ' a

'- - 1- .'> -: 4 d ,

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11 7.i..; .- A.-I ne' S A" -ire

7. -Z ' e .~

C- S S T- -, liun z:a r r

rec c - '-C~ 1re use of tone sottwa r e 0u . a

at-e I_: tou-_r expertxerntay_ sessv-ors, and -;ou w. t e askec -- ,oea rcueslonnazre regardtzg- th'e .tindow mianagement, azorroacrec -;se_'

es, -he exprmenal. se351s. W cons st o f twJo Mnu:<s r st rr otter r-e st r e a k bet.eeo b'oc,cs Te eot:-'

- re ~~abo' severn hours tocIn eeu ee>-7 "coe aomo hur"_ of 3Q'oar upon. completion of th"e stdy -

-yl7z, rest '--e.,ks and que sti onrna ire adn'.o strat7-D-

.d ex e e rm e n te an:teein exteere-

:'Iv-SStf _e a: r~es, Prim; e trust.ratedor57-3>

r ac oe t ,'e -i 7~f -~ r 4 4' -.

_m otto --- -

X - . T :te 7 u w-:7

tave the e--------(I- -

- a3' Ic v-a i- - p< 7 '

47 1- rc 1,'

o2t-- , t 1, -3pr ;A et

Page 105: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

T. e r. -E .11

d T' S-dk- e r, a s 7:

L V i Vr .- --

r~- * ~ . d 5Jr '-r: es>r. 35 J Y - A

hias~ ne v->~ U~ e-Na- -

-~~~~~~~~~~~ e- s, s ... n. ~ suv ~ trfs

Page 106: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

nke vide a- Ono ,-

-12 01 a-r c'rxzz:- from azrW7 41e3 z "Ve 7'c4

ad'-,

-- rP WLCOW space lqam-> 7aren fromn 7te vex!. 1051, ad'a-e P .1

:4: oo-n -r'wec ire gjchal a~nrocc. *reates sua-w fir % ew I -

-cwidow b'y zaktrw equ~al ;irciiros Ad space fromn -tKec -'odows zi

3.0 row- Qs i Ar dsrov Fiz~res B3<3 ?, ard '"-e Mw r

.'a'''rware couorrtora.- '. , c. -

7ie ihkehbard :rLrerfazet in -d Tandv '4 rem '' -- n

,f'zr m: n.c mon no A.!s lr 'exrefl =Ur' in qO " :" s

":Q J'i Onwfwzu aaemn nmnq'A

Page 107: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

-~

- t -

J-Th/'\ f 1~r i-a H

1' Li

v~zo D~LiH

~~> 6> Li

Page 108: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

- -, -

-~ --- ---. -- C - -- z

- - --

_________________________ 3

5- - -K3 -- ' - -

- - - -. ,--4 -. 5- 5- I- - C' A >- j~l ~-<

- . I - 54~ - -3 -

- . -V

* 55I -

- -5-- - - - -- - -

4 A 4- I 5-

I -1 --- ' -' I

* *5**5*. -5--- 54 5-5~~~~~55 4...)C'

555 - ..- , -~-- -.5-. w

1.1 554,

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C,-

- -. .

_3:., -

-- --- ,,-

- ,-,,,

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J

-- U' -~

- .--- -- -~ -~

'U,

3 -~ ________________

- -'.

- -

- - -, - -' - I -

- Al /"~~* -~ -

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- T 1 S - t e s -1 (- -s.. t

de o ~a '- a.. t e2 ' e. 7- e-c-t-d ar,,

a rrang' -ghe li:s'p- - rre oarrfzrt:nta is

itable to -omplete thre sbsk.:9erarra7.zementtimS w -all Dte siD unc >-i 127 tr o V7. 7 e

Ce T PW, Fn- P S I .Tl --, -

e De 7-w -7e -

k 9I

e -: v - r,,

Page 112: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

scr~ ezS~ xe .aY r ~ li arc Zt 4j 7.,

se te rc epe

~ r~-, caa Se .<i?'arai- art.

-7 r t rSeeecencC

") "tter 'Le C-" er w fb dfferen- c : e -

n-: s3 t i-uwer e s s

g, :ra a o ~ - i?,ah c: ~ z P. P £r ;. '.-C :. -. -'" ,,, .

er_ bee r .e t

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-a a eS . E .C , .

I .£ "_r " -- C 7 ¢ - . - t.. .. - - r

-.g , ge s --e eF 4 '-< -" n ' :-e . - .t.- - -7, -?s d '

-- . , see e a

- -- r 'S 1 " "" --

-<. .": -i s .e- es 7 :. .. *-4 . 2 , ''

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a F- ... 1flK'.- C' E - -

e C- s -1 td rc

3:)- e T

K-, 's 7"

Page 115: UNCLA5SIF IIIIIIIIII WINDOW MANAGEMENT GLOBAL … · localized and global approaches for tiled nosc td 1228 window management by: jf chen, js greenstein unclassified uncla5sif i-e

ad~~~ aK tC< ie 77 . T4T'W e- 1

Sr -I-- a- ae e .

a~~~- i rL w c,.r e

-~ ~~~~~ -. T~- S-C w e sna. c- tw. .t sot L- -rr

-a .--- h-, e a - - . e x r e me e. .

>1.m :1-i7.r 7t-er a6P -- 7M)w ~ nertrg ---.

.ito w ot wautE ter- o;e- - SC&i- -ha >- .S1n Cfl. r e thIeslro -

aerz tearowcost r.te erm -.ere hondr of a eow

-- ~<reme rg'--S S-d at' o a r -w r Oet-weco '-w 3prE7- 2G- .. a

-as e~C oe 41:00 5 0 te sre t oow KI re -t: s'

- r vo o. t - pun . r a nw r- P e S3

- e typ e i aezo a- e- ,-e )-per

7* -. re'2c)l. w s to 'e - )% tn- j some z: l~ da1ta sets afrR

* - .. t :.e u<'<. -,, , <her ata, set s a:, >ir- : - 1- r

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-)~~: t; t- t -

a ~ a- L'82 S:~ P ,~~iir ee a crc'ss 'u rsc

..- eme o ies tS Mnovlps 0 e~so to te:dec

H~t he N.'P ~v *xc :Ilnow see lie new ins-rc io~n '

-7 P.IH E :-A R, EAG E T HE 'LN DO on W thr.' ie right: hand

s _' isplay The cross cursor aut-omato cal~ m ov es t o t- e elt boundar-.

d cow e s ince -ere are no wndows on t.he r i ht: hand s ide c w4_dow

n we can onri be enlarged t:owards t he left:) .N -w h-,i -,th e l eft'

-e' tenl times Then hit- ENTER, You can see to-at W-.714ow e is

-re u he conten.ts w ith in itare s tillI not. ful: d i srla I

t-he si.ze of window o is reduced sonc e zt ave up some c' -ts

-winr dow e: - ou w:. have to en' ar~ewno :urthe : o-

.esam~e trocedure- T'h is t we cen ,,o u e nIa rg e r indw e .it:e

-. ec-tcn key five t_-imes You car. see from the ds-er.;sK tt a

conensOf data set e are now c Isplaved. Since we [cav.e -c zet

oratonfrom -windows i- and gwe wiIhave to enlarze win7dow as

-or "erlarze-, and ENTER Then hit- the do'-mr dieco r,

-r -ie det I~. ri. lect . e re e tmes 7

--.. r; .. (j-. Io e Wt 7, )~W v

... ~~i wy, c i

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ttn sizes ofwn - S.V - a: o Wj'7 . -:rw "Ic

. z p :he lef': r r .. , ilrectio.n key to eniarge window : look an "-n

new insrnc'-:on bhown on 74e right hand side display But wai:r yOuS

on ct wa= t enarve widow P Ve are supposed to enlarge window e

:= .:an )ii the ESC key _o respeciNv the window wA o. 'an wan:

.:.arze 7rv it and look at the new ins rnction on the righo hand side

11.:1V The new irstruction orn the right hand site displav asks :00o

."< TIRT'''N KEYS: 7C '- SE TE W:NDO-W WH:CH "77 WANT TO EULARGE"

nit te down director Key once and hit the right direction ke'- four

Times I,.e cross cursor snould now he in the middle of window g. Hit

ENTER The cross cursor ",, stav in the middle of window g Hit the

left direction key 14 times 7hen hit ENTER. You can now view the ful'

Konten-s of data set g. But notice that window f has been closed and

-ava set f has been hidden data set f now a ppears as a small rectangle

in the second row of small rectangles titled "HTDDEN DATA SETS" in the

7o: left corner of the display . A window will be closed automaticallv

wnen it s fuli v covered by another window This happens when the space

:e:ta.r he window is very small Now, since you can view the full

tor-ents of data se t s e and g, 'ou can count the specified graphic

e:ct s and answer the question

We wi. now proceed to the next question. Question 1 asks "'ov

"0a7 is t . .ta :,u ber of parallelograms contai-P& in data sets f nn.

- ;.:.;e 3 windw for data set p hasn't 7et been ojened . oil: Ya-

"' ,' :>:W tt- proce .e -, otter, a wildow .7d :'- P" 7.,w I'

e-l s . w inn , Windu"p' ,t w "- -,en " 4"7 v-

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~-. e zc~ ~e s c w 7 s z -irnd cer edr:

atr i7 71 lip spacp :r'at - 5a ~7 :a

7 .~f sa smovl rec a- e :t w~t s7oo c.

nt of wno w p, c u w a e toI e rz io r e.

'c oedr y do -hs Af-er eT-.arg:rg w ;D.o p o wl a"

o reoen wuo'.nswer ttIe cuetin indos. 4_'as open~ef

-a atm osed -..; e enlarg;ed ;ido g a T

-ra K s ac e tr -a w - do w a*-a s o penr.ed t_ ate r c Io se d we re o e n e

-cw ratt-er -han. eve o r reopen wi ndow h hit a ad then htt

An arrow cu-rsor ~S now Sow nte tstsa cage ofte

c -5 rw at r _ ne t o~ of t7 e d s u av Hit t -he r ight direction Key o:nce

rrow. cu-rsor mo,.E!s to the smaX rectang'e cnann hrce

-e ETRkey The arrow cu-rsor 4s now show-n a-, the >5 oundar-,

007dw k NOW hit. th-e ri-ght direr:tion kePy t--.,e t7ne Te a rr ow

-nv~ IIC.e o the r ight, boundia- oft wind(w row one ion r. i. .z .

of window e; Now hit ENTER 7T-he size of window e Is reduced

--ac s;Dace for window f A;indow f is n ow reopened n,-e i:

hne fulcont ents -t 'iuncow f %you wi n o nr-. .

r.' Pna~d wiiw ount- te s-,ec ;fe dgarh;-Ie-" c

W, i-c you arnswcr

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dc . .. r.. .. . ~

S e C -. oste woPiT s r- some ttne - ea s r C

W.'.e ne cor t it otner data se ts are art e - ;

toe e.estion on the rL ' ,a nd side 6 sp>a The . So-e

-o .o ,Ft and enter the iota rumiber ot s,: a , .data se e c

n..ce vou cannot view the fu'i contents of eitner data set e or e-a iee

zvou wi have to en'arze their windows

Io enlarge window e, first hit 'e' for "enLare and ENTE P.

toe right hand side displav vnu can see the new instruction "*SE

n IROST. N KEYS TO CHOOSE THE YTNDO: CHYOU"T T " -E', "*

look at the lef - hand side d isplav, you can_ see a cross cursor 'n tr-e

midddie of the first window in row one $window k; Hit the right direc-

t"o- key four times. This moves the cross cursor to zhe middle of win-

cw e. Hit the ENTER key You will now see the new instruction 'UE

7E- SR RIGHT DTRECTION KEY TC ENl.ARGE THE ,.on. the right hand

ie display. The cross cursor automatically moves to the left boundary

, (r, dow e. Now hit the left direction key ten times Then hit ENTER

; ., :ar see that window e is enlarged, but the contents within it are

sr..1 not filly displayed, while the size.- of the otner windows in the

same row are reduced 'since they gave up some of their space to wKdcw

c You will have to enarge window e further n is time, when you

en . arge window e, hit the left direction key five times You can see

from the asterisk that the f,;l! cnntents of data set e are now dis-

Oaved Since we have to get nformatir. from wi, nd.ws e r- , ww

-•cmt e .ar, dwga eII Hiro ", t ET

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-:. ., 'r z'L r - ey :,1 . t1 me T % I -e, A' .L; P I .. .z ,- ' . : -

71nes Ti rnser 'wd

Lvy: diro:-W '4ha :7nr i Wts Axrorota

f -! zoocerins osf data sec B 7 notice trrw wind-ow r 7 " L. --

r.c data set 7 h-as been hidder; Now sluve YoA; can. V.',,, one 7.: -,.--

-errs of data set, e andc g . you -aN. ou.: , rny v-p.,ci.r e. • ler.. n+ "

±7"., answ 'er on~e q.u.ession

zonr.ined in data sets n and a" Sirce a w-d.w for data set ; hasr' -

ver been ovene, :ou wl .ave .0- ) ten L7 F'low the rocedur to ;--

a window and put window p netwea windows g and h window p wi" W

inened. but you wil" not be .dL.e -a view one full contents of data set

SThen we opened winow p in row two all the other windows in rov os ,

.z 7n give "up space :Dr the newv -perec wind,d. As a result window

.as so sinai" after gi.ir up spawn. than if was automatica' - clsed

la. ser h. now appears as a sma. rectangle in the second row of small

7e*-a .les in the Vp >it corner it the df-piav sirco V." 03=07

77 ..e f .t:. .evr s of window p. vo, wi- have to enlarge win,n. v se

..e enarging procedure to do thi s After enila.ging Yndow ; .. :I.

-,.si have to reopen window n o answer the qb.estor ,To roTen.

..: 'r' and then K E,NTER. A arr w corsor K o shown L7-. ,e

'h-s" sma" reqntanrge of the second row at the ro: of "p .:sy.-v HP-

.4 Y.t.difr - ion cO key oT. !he arrow crsor mo-es '; .y 7A!,

'0 ' 7 ... 7 r -, --- 7 *. - - :I:

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*i.n - .', - : ", nec ;Inc- :ou Cr 7 ', W 1r,

f ,

_,-IS Of Wndow n., -ou wi: Kave 7o en..l arge it After -on have ernarp

.:rnio,- zw nrr ,e spec:: fed graphic objects hit 'a' and give vour

u You ,an use the backspace key to correct your input ;etore .osi

t the ENTER key

7he ESC key can he very usefu 4when ou type a command an enter

i:, but then change 'tour mind Hitting the ESC key at thisoint wrIt :ndo" the last command vou entered and bring thestem back to where it was before vou entered that command

B-t there are four exceptions about the ESC key

a Y:ou cannot "undo" the answer you gave.

You cannot "ando a window that has been opened

c You rannot "undo" a window that has been enlarged.

,d You qarn- "undo" a window that has been reopened.

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:. -- :",.- :,: Q e' .( w ', ':men COO "

. cueratel: eas'." erv di

Acal:ze a~proac:. low data ser size "ariabi ii. at: and 1s lan.

set i:rterepdene-;

; en the data set sizes are low variabilitv, the 'ata sets are l:w

interdependency, and the screen hasn't vet been filled witn data

s.ts how satisfied are you with the local:ed approach to wi:dow

managemen: 7

,:remeD: ;us- not satisfied:a:isfied satisfied at at!

- Ynen the data set sizes are low variability, the data sets are im-w

itecdependencv. and the screen has been filled with data sets, h -w

satisfied are vout with the localized approach to window manage:ent

23

just not satisfied

"167 1 o f le( satisfied at a!"

Ser: tne data set sizes are low variabiitv, the data sets ark low

i-terdependency, how satisfied are vou with the localized approaci:

-Q window management

Wilreme v lust not satisfied

5 -tsfied satisfied at all

a0 ized approach, low data set size variabil i'v, and ri h Oita

S- 1Prdepenrderov,

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J 11&7 e: ° e !a a , " a:e <,"w W.aVIA M IV 1!0 la .d ta Se-s lip K..1,,av

d T : h een Ka, -een M y w = , -a w "i-

" (,,!are ms,, wi",' -he :oan !i et apyroa : -: wlrcow :m 'a~raev " "

A",en 7 :e mala SP: Si;n : o*r~e low mar- m il l * "r- ]a ,. -e la, n

-not ; t sav sfie

S localized acproach :t& d a ta set size -ariabiliva a and ,-> .. --

1 ' 5' ' i & t: t ' --

seta interdependenc-e

_a Then the data set sizes are high -4rabilinj<° data seis are

interdeper~dency', and the screen hasn't vet been: filled with data

5ems, how satisfied are vou with the iotalizen araroach on wind.ow

Ma na gement

te hc-; tow- -.

lre.'e:v ins- not satisfied

----,at ted a: all

, en the data set sizes are high 'ariabii,;, he data sets are 12"

inrerJependencv, and the screer has bet been fille d w ata se .

sae:sed are dou ae 'o-he -alized approach to iroa,h taand:

.,rere '; ls not sazlsfied

satisfied av n!'

lien tte data set s:zes are high 'lariabi iv re da sets ar-e

.e--ev-erdencv, how ratisfied are vou with -he localized approach

1. t o w", ma: a e Te " t

S. -no!

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li -,a a -

e er r- er- and thAe screeni 'as te:a- ser- s'

<'-tpc' ae vonaw-t t.:e are372C V,-fl>l W17 It, anr

extrme> IV st not satisfied

--e te daaae Ssre ar eo :a~ ttv thee dat siet a.trd -cndenc,r., anid the screen .at'tvt er1ild -:hdt

sets, how sat~isfied are vou wt~.' the glblapocht ,-e

o:anazemernt

cc:. unst not s at.st'-s

' t.ed, satisfied ait al-

',.e n txe diata set si-zes5 are Ilow .'ar~amr '*:l-, -the -aast r

terdependencv, and the screen nas be*en fill'.ed ia-th data

satisfied are von wih he global approach townowmnaern

e ! sat .tft4e d at at.,

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C " A'.

Sq er .a n' Yv be r 2 1 1 W -K j

i n - - s a n e

a 1 1S-sn i: at 3:e.

ih her- 7e t< se sizes a're low '.arwaitvlt the data sets are hig.

interdeen"cncv. =" Te s:reem has nrc: fillc with data sons

satlst :i are '. , AP global apz:rcach to window management

vxz:remeli 2u.st :non satisfied..... /d saosed sat C.a

i7 "Ten the da-a se- sizes are .,w variabil itv the data sets are hi ..

:nteriependercv, how sa" sfied are "ou with the glonal approach -D

window mana2 r r '7

ex:remev ':st not satisfied

.atistied satisfied at all

;Lonal approach, high data set size variahility. ant low data se.

in.ertependencv.

'a Then the data set sizes are high variabilitv the data sets are

irterdependencv, and the screen hasn't vet been filen with data

sets how satisfied are you with the global approach to window

management

-.v remerv i,.- not satisfied

satisfied at a!:

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- a veilee. n r .led - data

sets ow sa:ist ed are c, t ,ne wooa afproa,- t, 'wi:low

management

e. .remev ot sat stied-: t :i ed santat.sleG/ at. ,a..

S en -- e data se z ses are nin variaofUi tr -he data sets ate

I terdependencdn ar t, ne screen LS been, filled .th data sets, ,ow

satisfied are ;o,: w th the 2idbal apprchn to window management '

-treme, 'r, not sat s edy:at:.sf e' sarp In d .-. a a

- £ cen -- e data set stz -s are r-E- -ariai..t', tne data sets are h y

eependencv, how --;ats -: , v, u wih the glo'a. a: roa< t:

cl ow management:

r e em '¢ ,..st nOt sat sft

S~ . 4 ,fSe sat .a

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ski A: 1

Rank -- y -wo wLn 'w manaseT- :01 7r

0171 1 .",ng Moro ;-t:wfrpI Art

.s a! izet aywmw

ilk na:

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a A~t. e- -

aL. a.

e PK.. s

an e ta-- o-n an eat rw- -1 th s~a xmc~

ac s e e rce ee re D

* .3 -etn ;a--

-a- :S te dfe renc e retz weer e jta. ume r-cte ant

7' e''

th li re c -eIM-r Se t,-t: n-tnr c, s.: ee n

zan'd s

raf mt a -- a ne in a at n~'>:a .

pses z'- retrae aorta e .a

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-ectang as aoT.C.- ,. .s -<ct A.- -s /..e.r a: - ,

an!e t T:nes wrLiCT in -A. SP!

Wha: is e -7v A ub'7&bg.eS J-aare t tPar-P- 9az ±r

jesa eto Y . d

Wha: is the tifference between the Tn:a r'nwfer it Tpeitanees a

-raezoids zontaine in ,ata set k and the ita. -iner -f

:,td :rae.ids :or.tanect :l aa se

.'.es I A~n 1

What is the tota. number rf paral elograms art q.-res *ct.taI:ned

,ata sets e ann -

-:est-on TI.

Vhar is the aifCerence he.ween -"e tona nuh:er of square, and cirmescantaine - d.ata s& 2 z he 7o_ number or trapezoids and

para.lelograms contained in. data set

t esticn V'nat is tne tota ,.me o: circ es and trapezcids contained in data

sets g and s"

" ;escion 17

nat is the difference between the total number of ellipses and squares

contained in data set c and the total number of trapezoids and

rectangles -qn-a;ned in data set 7?

• .esiion "A

4nat is the difference between the total number of el lses and scuares

contained Kn cata set k and one total number of ellipses and squares

,onaied in data set p?

.etltvin -0

. ha. is the difference between :he total number of elipses and

rectangles contained in data set h and the total numner Qf em ipses

and rectangles contained in data set n?

:esTic-n 20

Mnat is the rota. n'r-m'rer o f circles and s-n-ares '-ntained in d ta eee Ard:, -"?

ia:. is the difference betweer the 'otal r ,mer at e. .pses and cir->et

contaired in data set q and the total number of 7rapezoits arnd

paraile ograms contained in data set d

dia, is 7. -oa-I n-anher -; retn q- dT A ' rp icT- or. Ainred in 4a!

sets n ard S,

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a:Ls n e"4fe renc e '-,et Pt t _e t lnmbe r .- r llpe S ..

zar :aesr~ conaned- n dat r J ana ar n w. e un e r

:"s te to1a. rvrne C f C, ~ e nn' s a e r~e n

~est:: 2a is tie tffe re rce Inetwe en he to a n ber of S ese Sn ca.'

lont arzne c-aie 'ta se t- rda~ Ih an-a r'umbe --oMc~ elle and

scares -4.-,ne in - sett

', nat is the dfference neree te talnumber of trap": eoid and.oarallelograms. contaned in a data se3ran neta number of: n

sc ande co ctannes contine in~ satest

.eszion 2.,nat is the difference bet -ween th"e total number of ellPeo_s and-rcangevs con.ained in data set- and' hee total number o lise

arc rec angles conta-ed atla set e

-estior. 21. c,.z s --'e difference between t:he tot.aL number of ellipsels and

retranzoes contained in, data set mand the total T-.wnber of re11',psesand rcangzos contained in data set q

a es t ion 32Tht s t'ne total number ofrec-n-e arirallelograms and souares C-.'t:_e

d ata sesband g?

4.t s -,,e difference between .htoa 1 nuib er s -' - d rl-aedscontained in data s i and the r al nimberaecd u

an raeoras contained in dat-a set f"

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Ahaz is he di'f ference- -ewe h o!:al. nvuiner )' e. p ss ~,onta4 'ed irn data set D and -he total nnbrc rpziz

re. -a .Z-s :orntalned -i ata set c

i1estion 26~ntis tn'e dfterence .De ween Z2-je t~otal numoDer oi el ipses and( s-:a re sonaned in data set t and thne tot7al -umber ife-an caes

:ornza nec- ;i7 data Se t k.

ha is the difference betw-.een th-e tot-al n-umber of elissandetgesconc~ained in -"ata set- e an-d the cotal number of ellipses

and rectangles contained_ In data set

,4 iestion;'-)at is the difference b-etween, the total number of circles and szccarescontained in data set e and the total numb~er of circles and squares

contained in data set

.,cestion 3:'at is the difference between the tital number of ellipses and c~rc--es

contained i n data set- p and th'e total number of t-rapezoids containec.4

data sets e and 4?

.uestion ~"hat is the difference between the total number of rectangles and

st4uares Lu(_naLned in data set p andI tne total number of parailelogramscontained in data sets e and

. e stc t :That is the sum of the number of trapezoids contained in data set-

el'lipses contained in data set 1, circles contained indata set t. i-,

rectan,,les contained in data set e?

"hat Is the total nubrof- par-alleLograms -ont.Ained in data sets e

p, and t

Ta t i s the sum of th-e number ot ellipses contained! 4r. daaset prectangLes contained in data set .squjares contained d- at:a se*

and trapezoids cont.ained in data se!t

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W.hat is -_e dlttererce Ketwoo:n t e nial p mc pi . :r 1, C- s 11:,

data veta p and and "e "ona. rumner A: s'"ares -crk-aiec in !-,;

sets e ans 2,

1"evtic v -

A-ar is the total nanbs of recoanzies n.ntained it data se-v

:neszfon-at is the sum of the numner o squares contained in Kata se,

parallelograms contained in data set e trapezoids rortahned .i datissen q, and elipses conta:neo in data set

7eszir

-at is the tota! number of circles -ontained ir data sets Tc e, i ar:

.ueszion 12

That is :he difference between the tc,_al number of trapezoids contaf-e,-

in data sets p and q and the total number of rectangles con::ainea :!,

data sets I and C'

a estion 13

That i; the total number of scuares cortained in data sets c e i. and

1:estion !V

!hat is the difference oetween 'e total number of rectangles contaf:v.

in. data sets p and q and the total number of trapezoids contained in

sata sets I and V

1.esion 15

That is the sum of the number of circles contained in data set e,squares contained in data set b. ellipses contained in data set c. arnc

;aral~elczrams contained in data nt i?

S.es-on .6

<haz is the difference between the total number of trapezoids contain,'

in data sets k and p and the to-al number of ellipses ccntained A,

nata sets I and t?

1.esrion 1-

.Z-ar is the sum of the number of ellipses contained in data set v.

:ircies contained in data set V paral'el.cgrams contained in data sp"

q and squares contained in data set V

.esnion P

that is the total number of cnrrles contained in data sets 4

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,ha is the ditferoncC be.-eY 'h <'. ntw t -. 12 lwp.n

rectangles contained in java set f .i-: he 7;-.1 v' mver : -].z ,

and rectaneles -onvatned in irta se 7'

N,-est icn :0

What is the difference :hetwee the total num:ber of an!. sqarescontained in data set k and the tonal number of circles and sq ares

contained in data set p,

;Nestion 21

That is the difference bezweer the total iLmber -.f I'ipses .,nd circles

contained in data set a and the :ota" number of trapezois c-r.ntaine

in dana sets e and i-

:4 est.ion '2,

What is the diference oetween twne total number o rectangles and

squares contained in data set q and the total. n'nber of parallelogra:ns

contained in data sets ' and o.

-Nestion 23

What is the sum of the nnmher of tra'yezoids contained in data set c

ellipses contained in data set v, circles contained in data set K and

rectangles contained n data set b?

Question 24.

That is the to'al number of parallelograms contained in data sets .

p, and r?

Tueston M.

Wnat is the s,.m of the numoer of ellipses contained in data set e

rectangles contained in data set m. squares contained in data set a.

and trapezoids contained in data set i?

7,estion 26.

','hat is the difference between the tcta. number of c4rc es contained in

data sets j and q and the total number of squares ccntained in data

sets b and o?

iuestion 27.

Vhat is the total number of rectangles contained In dat st- z

and t?

"Nestion 28

What is the sum of the number of squares contained i:n data set t.

parallelograms contained in data set k trapezoids :cntaine! in da!3

set r and ellipses contained in data set p''

:uestion z!

What is rhe tota, number of u:irces contained 17 ,i*a, s- , . i r2

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rt data set s b tdr " 2." .- :-r " r1s,:tl '. es:'stA.me: ..

tata sets ,-

.a ' ne ern C 'W P. n De ot s) f eL a Ft

Sis tr.e e r)eteen .S& trA c, i er of recar:z>-s z'r. o t i d

• '. a ~ .e r. r~ . 'dd wr , n or: ',rf tapeio",: d t e it

- < r t r r are

r" t t " "'-s e 1' e l o nrams con7ained in d ata -a

,a e it' ,ata sets . a

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B>;v S A and Rosenbezg. K, 19l86j. compariso)n of tiled 1and

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