1. Types of Eye Trackers
1.1. Headgear painful, cocain drops
1.2. Gazepoint
1.2.1. $500-2800
1.2.2. need middle-higher version for UX use cases
1.2.3. License isn't transferable between computers
1.2.4. requires higher end computer to run it
1.3. The Eye Tribe
1.3.1. $200
1.3.2. cons
1.3.2.1. software isn't great
1.3.3. open API
1.4. Cons to cheaper
1.4.1. more difficult to calibrate
1.4.2. can be hard to use with people with glasses
1.4.2.1. shiny points get misinterpreted
1.4.3. Less forgiving of head movement
1.5. Tobii Glasses
1.5.1. $30,000
1.5.2. $3,000/month lease
1.5.3. Goggles like glasses
1.5.4. Can be used for things not just a computer screen
1.5.4.1. mobile
1.5.4.2. plane cockpits
1.6. Tobii X300 eye tracker
1.6.1. $45,000
1.6.2. Kinect looking device
1.6.3. high resolution, high gaze resolution
1.6.3.1. 60 gazes a second from gazepoint, 300 gazes a second for this one
1.6.4. more freedom of head movement
2. How to use it in UX
2.1. When
2.1.1. Offers information on foveal, not peripheral vision
2.1.2. Captures behavior not otherwise easily observable
2.1.3. Used during usability testing
2.2. Do A/B with usability tests
2.2.1. ask people to do think aloud
2.2.2. ask those to not do think aloud
2.2.3. see how it effects them
2.3. Schedule extra usability participants
2.3.1. allow to skip the eye trackers for those who feel uncomfortable
2.4. Doesn't Tell you
2.4.1. peripheral vision
2.5. Can tell you
2.5.1. where user focused
2.5.1.1. potentially tells you weather there is something hard to comprehend and understand
2.5.2. The flow in which they were identifying information
2.5.2.1. did it follow the intended flow or are other things distracting that flow
2.5.3. Difference between the types of people (novice, expert) parse the screens
3. Outputs
3.1. Heat Map
3.1.1. With Talk Aloud vs with Retrospective
3.1.1.1. Quite a bit different gaze patterns
3.2. Gazeplot
3.2.1. Plot/dot map
3.2.2. Audi Case Study
3.2.2.1. Conscious Driving
3.2.2.2. Subconscious Driving
4. Results and Design Decisions
4.1. Examples
4.1.1. 1
4.1.1.1. Research finding
4.1.1.1.1. Even when users deliberately trigger the popup window, they are checking the header in order to confirm that their action was executed correctly
4.1.1.2. Result - use clear headers in pop-up windows
4.1.2. 2
4.1.2.1. Comparing / Contrasting Information
4.1.2.1.1. trying to compare imagery not right next to each other caused a lot more back and forth
4.1.3. Netflix
4.1.3.1. Big screen UI
4.1.4. Cleveland Indians Stadium
4.1.4.1. Where fans are looking during the games
4.1.4.2. 50 participants
4.1.4.3. Used to help price advertising by who looks where
5. We have Data, Now What
5.1. More Thorough Studies
5.1.1. Not a replacement
5.1.2. Creates more targeted solutions
5.2. Selling Usability Services
5.2.1. Wow your audience
5.2.2. Add more buy in from your users
6. Should You Do It?
6.1. 3 questions
6.1.1. 1. Actionable Insight?
6.1.2. 2. Simplest Method?
6.1.3. 3. Buy-In Boost?
7. Other BioMetrics
7.1. Mionix Labs Quantified Gaming
7.1.1. How sweaty your hands get
7.2. Lego Mindstorms self made
7.3. EEG
7.3.1. Electroencephalography
7.3.2. Measures emotional
8. Presenter
8.1. Jeanne Petty & Hilary Davis
9. What is Eye Tracking
9.1. Shows where users are looking
9.2. What order
9.3. Length of fixation
9.4. Number of fixations
9.5. What users Don't look at
10. Eye movements
10.1. Saccades
10.1.1. way your eye moves around to interpret what it's seeing
10.1.2. Smooth pursuit
10.1.3. Jerky comprehension
10.2. Fovea
10.2.1. the area in which we can really comprehend high resolution imagery
10.2.2. (two thumbs held out in front of you is about the size)