Program: Undergraduate
Course Areas
User-Experience Design

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 310U.

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 320D.

Current and Upcoming Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
I 320U: Topics in User Experience Design: Eye Tracking and Human-Centered Physiological Computing

Jacek Gwizdka

Fall Term 2026
  • Tuesday
  • Thursday
  • 3:30 pm
  • 3:30 pm
  • 5:00 pm
  • 5:00 pm
  • CBA
  • CBA
  • 4.324
  • 4.324

Past Classes for this Course

No past classes to list for this course.