Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience

Francesco Chiossi, Robin Welsch, Steeven Villa, Lewis Chuang, Sven Mayer

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)

Abstract

Virtual reality is increasingly used for tasks such as work and education. Thus, rendering scenarios that do not interfere with such goals and deplete user experience are becoming progressively more relevant. We present a physiologically adaptive system that optimizes the virtual environment based on physiological arousal, i.e., electrodermal activity. We investigated the usability of the adaptive system in a simulated social virtual reality scenario. Participants completed an n-back task (primary) and a visual detection (secondary) task. Here, we adapted the visual complexity of the secondary task in the form of the number of non-player characters of the secondary task to accomplish the primary task. We show that an adaptive virtual reality can improve users’ comfort by adapting to physiological arousal regarding the task complexity. Our findings suggest that physiologically adaptive virtual reality systems can improve users’ experience in a wide range of scenarios.
Original languageEnglish
Article number55
Number of pages19
JournalBig Data and Cognitive Computing
Volume6
Issue number2
DOIs
Publication statusPublished - 13 May 2022
MoE publication typeA1 Journal article-refereed

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