Teaching Eye Tracking Visual Analytics in Computer and Data Science Bachelor Courses

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Making students aware of eye tracking technologies can have a great benefit on the entire application field since they may build the next generation of eye tracking researchers. On the one hand students learn the usefulness and benefits of this technique for different scientific purposes like user evaluation to find design flaws or visual attention strategies, gaze-assisted interaction to enhance and augment traditional interaction techniques, or as a means to improve virtual reality experiences. However, on the other hand, the large amount of recorded data means a challenge for data analytics in order to find rules, patterns, but also anomalies in the data, finally leading to insights and knowledge to understand or predict eye movement patterns which can have synergy effects for both disciplines - eye tracking and visual analytics. In this paper we will describe the challenges of teaching eye tracking combined with visual analytics in a computer and data science bachelor course with 42 students in an active learning scenario following four teaching stages. Some of the student project results are shown to demonstrate learning outcomes with respect to eye tracking data analysis and visual analytics techniques.
Original languageEnglish
Title of host publicationETRA '20 Full Papers: ACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
Number of pages9
ISBN (Electronic)9781450371339
DOIs
Publication statusPublished - 6 Feb 2020
EventETRA 2020 ACM Symposium on Eye Tracking Research and Applications - Stuttgart, Germany
Duration: 2 Jun 20205 Jun 2020
https://etra.acm.org/2020/#:~:text=About%20ETRA%202020%3A,under%20the%20motto%20Bridging%20Communities.

Conference

ConferenceETRA 2020 ACM Symposium on Eye Tracking Research and Applications
Abbreviated titleETRA 2020
CountryGermany
CityStuttgart
Period2/06/205/06/20
Internet address

Keywords

  • Eye tracking
  • education
  • information visualization
  • teaching
  • visual analytics

Fingerprint Dive into the research topics of 'Teaching Eye Tracking Visual Analytics in Computer and Data Science Bachelor Courses'. Together they form a unique fingerprint.

  • Cite this

    Burch, M. (2020). Teaching Eye Tracking Visual Analytics in Computer and Data Science Bachelor Courses. In S. N. Spencer (Ed.), ETRA '20 Full Papers: ACM Symposium on Eye Tracking Research and Applications [17] https://doi.org/10.1145/3379155.3391331