Catalog Description
Theoretical foundations and practical applications of eye tracking and physiological computing in User Experience (UX) and Human-Computer Interaction (HCI).
Instructor Description
This course examines the theoretical foundations and practical applications of eye tracking and physiological computing in User Experience (UX) and Human-Computer Interaction (HCI). Eye tracking is a central focus of the course, with dedicated coverage of the human visual system, eye tracking fundamentals, data collection procedures, and analysis of eye tracking measures. Beyond eye tracking, the course additionally covers broader physiological measurement techniques including electroencephalography (EEG), electrodermal activity (EDA), heart rate variability (HRV), and related physiological indicators. The course addresses the physiological signal processing pipeline, covering data acquisition, artifact removal, and feature extraction, and statistical and machine learning-based analysis. Students will learn to design and conduct studies, and to analyze data using these methods while critically examining their effectiveness, limitations, and ethical considerations. The course emphasizes physiological data for UX evaluation and covers its potential as alternative input mechanisms in interactive systems.
Prerequisites
Upper-division standing and Informatics 310D.
Restrictions
Generally restricted to undergradute Informatics majors through registration period 1 and extended to Informatics minors in period 2. Outside students – including iSchool graduate students – will only be accepted during period 3.
Notes
Also offered as Informatics 320U.
Current and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| [pending] I 320D: Topics in Human-Centered Data Science: Eye Tracking and Human-Centered Physiological Computing
Jacek Gwizdka |
Fall Term 2026 |
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