We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios
Heimerl A, Becker L, Schiller D, Baur T, Wildgrube F, Rohleder N, Andre E (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Association for Computing Machinery
Pages Range: 486-493
Conference Proceedings Title: ACM International Conference Proceeding Series
Event location: Corfu, GRC
ISBN: 9781450396318
Abstract
In this paper, we present a processing pipeline for the analysis of stress and negative affect based on pupillometry. We were able to show that it is possible to extract meaningful pupil features from video data recorded by an infrared- (IR-) sensitive webcam and successfully trained a Support Vector Machine on the corresponding dataset. Further, we conducted a study that shows that the proposed pipeline is suitable for the assessment of stress as well as negative affect during stress eliciting situations in a digital environment.
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Germany (DE)How to cite
APA:
Heimerl, A., Becker, L., Schiller, D., Baur, T., Wildgrube, F., Rohleder, N., & Andre, E. (2022). We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios. In ACM International Conference Proceeding Series (pp. 486-493). Corfu, GRC: Association for Computing Machinery.
MLA:
Heimerl, Alexander, et al. "We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios." Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022, Corfu, GRC Association for Computing Machinery, 2022. 486-493.
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