Human Logging for Evaluating InfoVisNathalie Riche,Microsoft Research

nath@microsoft.com

2 April 5, 2010

System Logging

Human Logging

AccuracyTimeTasks

ObservationsInterviewsInsights

nath@microsoft.com

3

Insights

Units of discovery

Aha! Moments

Answers to questions users did not even know they had

April 5, 2010

nath@microsoft.com

4

Investigating Physiological Computing

April 5, 2010

nath@microsoft.com

5 April 5, 2010

© h

ttp

://e

ven

ts.g

old

en

pala

ce.c

om

/pre

ss/

nath@microsoft.com

6 April 5, 2010

Eye trackingPupil dilation

Heart RateRespiration

Skin conductanceMuscle activity

Brain activity

nath@microsoft.com

7 April 5, 2010

Pupil dilationEye tracking

nath@microsoft.com

8 April 5, 2010

Heart RateRespirationSkin temperatureSkin conductance (GSR)

Excitement Stress High mental effort

nath@microsoft.com

9 April 5, 2010

Muscle activityElectroMyoGraphy (EMG)

Pleasure Frustration

nath@microsoft.com

10 April 5, 2010

© h

ttp

://w

hoyo

uca

llin

gask

epti

c.w

ord

pre

ss.c

om

/20

08

/07

/08

/esp

/

Brain activity

nath@microsoft.com

11 April 5, 2010

Brain activityElectroEncephaloGram(EEG)functional Near InfraRed (fNIR)

Cognitive load Aha! moment

nath@microsoft.com

New perspectiveso Insightso Analysis strategieso Cognitive load

ChallengesStimuli o

Analysis oValidation o

Many Thanks to Desney Tan, Scott Counts, and Ed Cutrell for their insights on the

topic!