Eye Tracking in UX

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Eye Tracking in UX by Mind Map: Eye Tracking in UX

1. Presenter

1.1. Jeanne Petty & Hilary Davis

2. What is Eye Tracking

2.1. Shows where users are looking

2.2. What order

2.3. Length of fixation

2.4. Number of fixations

2.5. What users Don't look at

3. Eye movements

3.1. Saccades

3.1.1. way your eye moves around to interpret what it's seeing

3.1.2. Smooth pursuit

3.1.3. Jerky comprehension

3.2. Fovea

3.2.1. the area in which we can really comprehend high resolution imagery

3.2.2. (two thumbs held out in front of you is about the size)

3.3. Fixations

4. How Eye Tracking is Used

4.1. Psychological research

4.2. Market Research

4.3. Product Evaluation & Design

4.4. User Experience

4.5. Accessibility Application Design

4.6. Game Design

5. How Does it Work

5.1. 1. Eye tracker consists of cameras and projectors and algorithms

5.2. 2. The projectors create a pattern of near-infrared light on the eyes

5.3. 3. Cameeras take high-frame rate images of the user's eyes and the patterns

5.4. 4. The image processing algorithms find specific details in the user's eyes and reflections patterns

5.5. 5. Based on these details, mathematical algorithms

6. Types of Eye Trackers

6.1. Headgear painful, cocain drops

6.2. Gazepoint

6.2.1. $500-2800

6.2.2. need middle-higher version for UX use cases

6.2.3. License isn't transferable between computers

6.2.4. requires higher end computer to run it

6.3. The Eye Tribe

6.3.1. $200

6.3.2. cons

6.3.2.1. software isn't great

6.3.3. open API

6.4. Cons to cheaper

6.4.1. more difficult to calibrate

6.4.2. can be hard to use with people with glasses

6.4.2.1. shiny points get misinterpreted

6.4.3. Less forgiving of head movement

6.5. Tobii Glasses

6.5.1. $30,000

6.5.2. $3,000/month lease

6.5.3. Goggles like glasses

6.5.4. Can be used for things not just a computer screen

6.5.4.1. mobile

6.5.4.2. plane cockpits

6.6. Tobii X300 eye tracker

6.6.1. $45,000

6.6.2. Kinect looking device

6.6.3. high resolution, high gaze resolution

6.6.3.1. 60 gazes a second from gazepoint, 300 gazes a second for this one

6.6.4. more freedom of head movement

7. How to use it in UX

7.1. When

7.1.1. Offers information on foveal, not peripheral vision

7.1.2. Captures behavior not otherwise easily observable

7.1.3. Used during usability testing

7.2. Do A/B with usability tests

7.2.1. ask people to do think aloud

7.2.2. ask those to not do think aloud

7.2.3. see how it effects them

7.3. Schedule extra usability participants

7.3.1. allow to skip the eye trackers for those who feel uncomfortable

7.4. Doesn't Tell you

7.4.1. peripheral vision

7.5. Can tell you

7.5.1. where user focused

7.5.1.1. potentially tells you weather there is something hard to comprehend and understand

7.5.2. The flow in which they were identifying information

7.5.2.1. did it follow the intended flow or are other things distracting that flow

7.5.3. Difference between the types of people (novice, expert) parse the screens

8. Outputs

8.1. Heat Map

8.1.1. With Talk Aloud vs with Retrospective

8.1.1.1. Quite a bit different gaze patterns

8.2. Gazeplot

8.2.1. Plot/dot map

8.2.2. Audi Case Study

8.2.2.1. Conscious Driving

8.2.2.2. Subconscious Driving

9. Results and Design Decisions

9.1. Examples

9.1.1. 1

9.1.1.1. Research finding

9.1.1.1.1. Even when users deliberately trigger the popup window, they are checking the header in order to confirm that their action was executed correctly

9.1.1.2. Result - use clear headers in pop-up windows

9.1.2. 2

9.1.2.1. Comparing / Contrasting Information

9.1.2.1.1. trying to compare imagery not right next to each other caused a lot more back and forth

9.1.3. Netflix

9.1.3.1. Big screen UI

9.1.4. Cleveland Indians Stadium

9.1.4.1. Where fans are looking during the games

9.1.4.2. 50 participants

9.1.4.3. Used to help price advertising by who looks where

10. We have Data, Now What

10.1. More Thorough Studies

10.1.1. Not a replacement

10.1.2. Creates more targeted solutions

10.2. Selling Usability Services

10.2.1. Wow your audience

10.2.2. Add more buy in from your users

11. Should You Do It?

11.1. 3 questions

11.1.1. 1. Actionable Insight?

11.1.2. 2. Simplest Method?

11.1.3. 3. Buy-In Boost?

12. Other BioMetrics

12.1. Mionix Labs Quantified Gaming

12.1.1. How sweaty your hands get

12.2. Lego Mindstorms self made

12.3. EEG

12.3.1. Electroencephalography

12.3.2. Measures emotional