ux group: eye-tracking with quantity mária bieliková

30
UX Group: Eye-tracking with quantity Mária Bieliková

Upload: john-butler

Post on 21-Jan-2016

216 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: UX Group: Eye-tracking with quantity Mária Bieliková

UX Group: Eye-tracking with quantityMária Bieliková

Page 2: UX Group: Eye-tracking with quantity Mária Bieliková

2

20 eye-trackers in one room (UXI Labs @ Slovak University of Technology)

20x Tobii X2-60 eye trackers

Screen recording

Face recording

+

Infrastructure for transferring all the data to the central server

3D depth camera

60Hzeyetracker

Page 3: UX Group: Eye-tracking with quantity Mária Bieliková

3

Mass data collection is excellent for summative studies

• Same conditions for every participant

• Saving staff time

Page 4: UX Group: Eye-tracking with quantity Mária Bieliková

Group studies need infrastructure software

Page 5: UX Group: Eye-tracking with quantity Mária Bieliková

5

Our UX Group Research Software

• Data collection from all UX nodes

• Lifecycle management of user studies projects• Processing of gathered data

• Annotations• Cleaning• Export• Archivation

Page 6: UX Group: Eye-tracking with quantity Mária Bieliková

6

UXI@FIIT = three laboratories

300 Hz

PC, EEG, ..

.

60 Hz

mobiles, TV, PC

20x 60 Hzgaze tracking

PC

Controlroom

10x EyeXAccuracy: Tobii EyeX ≈ Tobii X2-30Precision: Tobii EyeX < Tobii X2-30

Page 7: UX Group: Eye-tracking with quantity Mária Bieliková

8

Setup Data Streams

Page 8: UX Group: Eye-tracking with quantity Mária Bieliková

9

Start Session

Page 9: UX Group: Eye-tracking with quantity Mária Bieliková

10

Annotate recorded data

Page 10: UX Group: Eye-tracking with quantity Mária Bieliková

11

Export recorded data

Page 11: UX Group: Eye-tracking with quantity Mária Bieliková

12

Enjoy your data!

Page 12: UX Group: Eye-tracking with quantity Mária Bieliková

UX Group Lab – first experiences

Page 13: UX Group: Eye-tracking with quantity Mária Bieliková

14

Twin-experiment(two experiments taken with the same group of 50 participants, ~2,5GB of raw csv data)

Experiment #1:

Crowdsourcing study demonstrating the use of eye-tracking for human computation scenario.Participants had to categorize of documentary movies based on their descriptions.

Experiment #2:

Questionnaire deception detection using eye-trackingParticipants had to fill out the big five personality trait questionnaire.

Page 14: UX Group: Eye-tracking with quantity Mária Bieliková

15

Experiment #1: Crowdsourcing movie categorizations

Participant’s task:

1. View the description of a documentary movie

2. Pick a primary category for the movie from the list

3. [Optionally] Pick a secondary category

Hypothesis:

We can discover additional classification information, if we eye-track the workers during the task

Page 15: UX Group: Eye-tracking with quantity Mária Bieliková

16

Experiment #1:Task user interface with example gaze plot.

Page 16: UX Group: Eye-tracking with quantity Mária Bieliková

17

The gaze reveals, what other options the workers considered

“Saving rhino phila"

[["animals", 100], ["crime", 50]]

[["traveling", 1150.0], ["geography", 1017.0], ["biography", 500.0], ["health", 400.0], ["animals", 367.0],

Title:

Picked categories:

Viewed categories:

Experiment #1:Observations

Page 17: UX Group: Eye-tracking with quantity Mária Bieliková

18

Experiment #2: Questionnaire deception detection

Participant’s task: Fill out the big five personality trait questionnaire that matches1. your personality (respond honestly)2. an ideal worker for job position (faking good instruction)

Hypothesis: We can detect deception by analysis of gaze data

Van Hooft, E.A.J. & Born, M.P. (2012). Intentional response distortion on personality tests: Using eye-tracking to understand response processes when faking. Journal of Applied Psychology, 97(2), 301–316. doi:10.1037/a0025711

Page 18: UX Group: Eye-tracking with quantity Mária Bieliková

19

Experiment #2:Big five personality trait question example

Page 19: UX Group: Eye-tracking with quantity Mária Bieliková

20

We were looking for fixation order, response times, pupil dilation, first fixation…

Deception cases were characteristic by:

• First fixations at extreme response optionsp = 3.538e-14 < 0.001

• Longer reaction timesp = 0.039 < 0.05

• Pupil dilation variance before and after answering a question

p = 0.022 < 0.05

Experiment #2:Observations

Page 20: UX Group: Eye-tracking with quantity Mária Bieliková

Methodological lessons learnt

Page 21: UX Group: Eye-tracking with quantity Mária Bieliková

22

Have some assistants

There were 3 of us: one experiment conductor and two assistants. It was enough for 20 people, but barely.

Page 22: UX Group: Eye-tracking with quantity Mária Bieliková

23

Do a pilot study with multiple participants, don’t just do it with individuals

If the study has to be parallel recording, do the pilot likewise

Pilot allowed us to properly update instructions• No browser window resizing, no zooming• Make the scenario as simple as possible. The more steps there

are, the more mistakes the participants make.

Instructions are crucial• Don’t just use paper instructions, use

slides and presentation as well

Page 23: UX Group: Eye-tracking with quantity Mária Bieliková

24

Group calibration is best done two-step

First, do a presentation (slide) demonstration. • Do not allow participants to do anything during the

explanation. • Make them watch you, or they will screw up.

Second, let everyone follow the remembered instruction from the first step.

• Watch the calibration status on the dashboard• Attend everyone that raises any problems• 3 experiment conductors were enough to handle

calibration problems

Page 24: UX Group: Eye-tracking with quantity Mária Bieliková

25

Never let participants to do anything during the time you speak to them.

Stress to them the necessity of discipline.

Paper instructions won’t always save you. Participants do not read them properly. Better communicate important things also verbally.

Page 25: UX Group: Eye-tracking with quantity Mária Bieliková

More group studies in preparation

Page 26: UX Group: Eye-tracking with quantity Mária Bieliková

Visual search ability for target findability evaluation

27

Target:

Page 27: UX Group: Eye-tracking with quantity Mária Bieliková

28

Page 28: UX Group: Eye-tracking with quantity Mária Bieliková

29

Page 29: UX Group: Eye-tracking with quantity Mária Bieliková

30

Page 30: UX Group: Eye-tracking with quantity Mária Bieliková

31

Join us at FBhttp://www.facebook.com/groups/UXIsk/