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CSC 8570 -- USI. Class Meeting 5 September 20, 2006. Research Project. Short presentation One spokesperson Five minutes Hypothesis, variables, initial experimental design PowerPoint Questions and comments from the audience. Research Teams. A: Pam & Srivani B: Karthik & Mukul - PowerPoint PPT Presentation
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CSC 8570 -- USICSC 8570 -- USI
Class Meeting 5Class Meeting 5
September 20, 2006September 20, 2006
Research ProjectResearch Project
Short presentationShort presentation– One spokespersonOne spokesperson– Five minutesFive minutes– Hypothesis, variables, initial Hypothesis, variables, initial
experimental designexperimental design– PowerPointPowerPoint
Questions and comments from the Questions and comments from the audienceaudience
Research TeamsResearch Teams
A: Pam & SrivaniA: Pam & Srivani B: Karthik & MukulB: Karthik & Mukul C: Archana & Sandya C.C: Archana & Sandya C. D: Mike, Natalie, TimD: Mike, Natalie, Tim E: Pranavi, Samsha, Sandya S.E: Pranavi, Samsha, Sandya S. F: Kallie, Kevin, SaraF: Kallie, Kevin, Sara G: Anush, Jeff, AdamG: Anush, Jeff, Adam
Mental ModelsMental Models
1.1. As theoriesAs theories
2.2. As problem spacesAs problem spaces
3.3. As homomorphisms of the physical worldAs homomorphisms of the physical world
4.4. Derived from language, perception, or Derived from language, perception, or imaginationimagination
5.5. As representations of representational As representations of representational artifacts (yoked state space)artifacts (yoked state space)
6.6. As computationally equivalent to external As computationally equivalent to external representations (internalization)representations (internalization)
Ways of UnderstandingWays of Understanding
Examination of spacesExamination of spaces Example: Calendaring systemExample: Calendaring system Relationships to:Relationships to:
– Task analysisTask analysis– GUEPs: Generative User Engineering GUEPs: Generative User Engineering
PrinciplesPrinciples– Good and bad interfacesGood and bad interfaces
SpacesSpaces
Problem spaceProblem space Yoked state spaceYoked state space Goal spaceGoal space Device spaceDevice space Minimal device spaceMinimal device space
Space DiagramSpace Diagram
Pair up by threesPair up by threes Analyze the three concept maps of Analyze the three concept maps of
spacesspaces Prepare a union map on the Prepare a union map on the
transparencytransparency
Problem SpaceProblem Space
Set of possible statesSet of possible states States of what?States of what?
Example: RPN as rote operations vs. Example: RPN as rote operations vs. visualized stack modelvisualized stack model
Yoked State SpaceYoked State Space
Goal space, device space, and Goal space, device space, and mapping from goal space to device mapping from goal space to device space and conversely.space and conversely.
Concept of Concept of representationrepresentation of of abstract idea by familiar artifactabstract idea by familiar artifact
Goal SpaceGoal Space
Set of user goals for a systemSet of user goals for a system
Example: System is a word processor. Example: System is a word processor. Goal space is set of text structures: Goal space is set of text structures: document, paragraph, sentence, line. document, paragraph, sentence, line. Operations on goal space are insertion and Operations on goal space are insertion and deletion of text structures. Device space is deletion of text structures. Device space is representation of goal space elements as representation of goal space elements as sequences of characters. sequences of characters.
Device SpaceDevice Space
Particular kind of problem spaceParticular kind of problem space Represents with an artifact (a device) Represents with an artifact (a device)
the goal spacethe goal space
Minimal Device SpaceMinimal Device Space
A device space with exactly the set A device space with exactly the set of tasks necessary for representing of tasks necessary for representing the goal space.the goal space.
Relationships Among SpacesRelationships Among Spaces
Example: Calendaring SystemExample: Calendaring System
Goal spaceGoal space– Attributes: now, cyclical, linearAttributes: now, cyclical, linear– Intentions:Intentions:
Pulse: Pulse: at a particular timeat a particular timeStep: Step: in a window of timein a window of timeBefore: Before: by a deadlineby a deadlineRelated: Related: in connection with another eventin connection with another event
Device spaceDevice space
Mental ModelsMental Models
How do they help?How do they help?
Connection to GUEPsConnection to GUEPs Connection to good and bad Connection to good and bad
interfacesinterfaces
How Good is the Interface?How Good is the Interface?
What is good?What is good? Who says?Who says? On what grounds?On what grounds?
Exploring “Good”Exploring “Good”
Exploring “Who”Exploring “Who”
Exploring the “Grounds”Exploring the “Grounds”
Cognitive Dimensions (of notation)Cognitive Dimensions (of notation) Hierarchy of design principlesHierarchy of design principles
– GUEPsGUEPs– General design principlesGeneral design principles– Implementable design guidelinesImplementable design guidelines
Task analysisTask analysis– Hierarchical task analysis (HTA)Hierarchical task analysis (HTA)– ConcurTaskTreesConcurTaskTrees
Leave BehindLeave Behind
IRB form, completed to fullest extent IRB form, completed to fullest extent possiblepossible
Bibliography for research studyBibliography for research study Concept map of spacesConcept map of spaces
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