Cognitive load estimation based on pupillometry in virtual reality with uncontrolled scene lighting
Eckert M, Habets E, Rummukainen O (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 73-76
Conference Proceedings Title: 2021 13th International Conference on Quality of Multimedia Experience, QoMEX 2021
Event location: Virtual, Online
ISBN: 9781665435895
DOI: 10.1109/QoMEX51781.2021.9465417
Abstract
Virtual reality (VR) technology enables and requires new ways of user experience testing in immersive environments. For various aspects of user experience, objective assessment of the cognitive load can be a useful parameter. With eye-tracking becoming a more widespread feature of current VR headsets, pupillometry is an appealing option to unobtrusively measure cognitive load during a VR experience. This paper shows that pupil size measured by an off-the-shelf VR headset with an integrated eye tracker positively correlates with the self-reported cognitive load during a standard n-back task adapted to a VR environment. To overcome the need for steady scene-lighting conditions, we present a method to correct for the light-induced pupil size changes, otherwise masking the cognitive load effects. Our results show that a commercially available VR headset with eye tracking can be used to measure the cognitive load in unpredictable lighting conditions without additional hardware.
Authors with CRIS profile
Emanuël Habets
Lehrstuhl für wahrnehmungsbasierte räumliche Audiosignalverarbeitung (Stiftungslehrstuhl)
Involved external institutions
Germany (DE)How to cite
APA:
Eckert, M., Habets, E., & Rummukainen, O. (2021). Cognitive load estimation based on pupillometry in virtual reality with uncontrolled scene lighting. In 2021 13th International Conference on Quality of Multimedia Experience, QoMEX 2021 (pp. 73-76). Virtual, Online: Institute of Electrical and Electronics Engineers Inc..
MLA:
Eckert, Marie, Emanuël Habets, and Olli Rummukainen. "Cognitive load estimation based on pupillometry in virtual reality with uncontrolled scene lighting." Proceedings of the 13th International Conference on Quality of Multimedia Experience, QoMEX 2021, Virtual, Online Institute of Electrical and Electronics Engineers Inc., 2021. 73-76.
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