Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience
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 o...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2022-05-01
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Series: | Big Data and Cognitive Computing |
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Online Access: | https://www.mdpi.com/2504-2289/6/2/55 |
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author | Francesco Chiossi Robin Welsch Steeven Villa Lewis Chuang Sven Mayer |
author_facet | Francesco Chiossi Robin Welsch Steeven Villa Lewis Chuang Sven Mayer |
author_sort | Francesco Chiossi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T00:25:13Z |
format | Article |
id | doaj.art-ebd44ff31ff84beb9466c63a37debd00 |
institution | Directory Open Access Journal |
issn | 2504-2289 |
language | English |
last_indexed | 2024-03-10T00:25:13Z |
publishDate | 2022-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Big Data and Cognitive Computing |
spelling | doaj.art-ebd44ff31ff84beb9466c63a37debd002023-11-23T15:36:21ZengMDPI AGBig Data and Cognitive Computing2504-22892022-05-01625510.3390/bdcc6020055Virtual Reality Adaptation Using Electrodermal Activity to Support the User ExperienceFrancesco Chiossi0Robin Welsch1Steeven Villa2Lewis Chuang3Sven Mayer4Institute for Informatics, LMU Munich, 80337 Munich, GermanyInstitute for Informatics, LMU Munich, 80337 Munich, GermanyInstitute for Informatics, LMU Munich, 80337 Munich, GermanyHumans and Technology, Institute for Media Research, Faculty of Humanities, Chemnitz University of Technology, 09111 Chemnitz, GermanyInstitute for Informatics, LMU Munich, 80337 Munich, GermanyVirtual 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.https://www.mdpi.com/2504-2289/6/2/55adaptive interfacebiocybernetic control loopphysiological computingsocial VR |
spellingShingle | Francesco Chiossi Robin Welsch Steeven Villa Lewis Chuang Sven Mayer Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience Big Data and Cognitive Computing adaptive interface biocybernetic control loop physiological computing social VR |
title | Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience |
title_full | Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience |
title_fullStr | Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience |
title_full_unstemmed | Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience |
title_short | Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience |
title_sort | virtual reality adaptation using electrodermal activity to support the user experience |
topic | adaptive interface biocybernetic control loop physiological computing social VR |
url | https://www.mdpi.com/2504-2289/6/2/55 |
work_keys_str_mv | AT francescochiossi virtualrealityadaptationusingelectrodermalactivitytosupporttheuserexperience AT robinwelsch virtualrealityadaptationusingelectrodermalactivitytosupporttheuserexperience AT steevenvilla virtualrealityadaptationusingelectrodermalactivitytosupporttheuserexperience AT lewischuang virtualrealityadaptationusingelectrodermalactivitytosupporttheuserexperience AT svenmayer virtualrealityadaptationusingelectrodermalactivitytosupporttheuserexperience |