A Virtual Reality Framework for Human-Virtual Crowd Interaction Studies

Nelson, Michael G.; Mousas, Christos

doi:10.1109/aivr50618.2020.00043

2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) 2020

DOI: 10.1109/aivr50618.2020.00043

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A Virtual Reality Framework for Human-Virtual Crowd Interaction Studies

Michael G. Nelson

Christos Mousas

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2023

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Adapting Visual Complexity Based on Electrodermal Activity Improves Working Memory Performance in Virtual Reality

Chiossi,

Turgut,

Welsch

et al. 2023

Proc. ACM Hum.-Comput. Interact.

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Biocybernetic loops encompass users' state detection and system adaptation based on physiological signals. Current adaptive systems limit the adaptation to task features such as task difficulty or multitasking demands. However, virtual reality allows the manipulation of task-irrelevant elements in the environment. We present a physiologically adaptive system that adjusts the virtual environment based on physiological arousal, i.e., electrodermal activity. We conducted a user study with our adaptive system in social virtual reality to verify improved performance. Here, participants completed an n-back task, and we adapted the visual complexity of the environment by changing the number of non-player characters. Our results show that an adaptive virtual reality can control users' comfort, performance, and workload by adapting the visual complexity based on physiological arousal. Thus, our physiologically adaptive system improves task performance and perceived workload. Finally, we embed our findings in physiological computing and discuss applications in various scenarios.

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Adapting Visual Complexity Based on Electrodermal Activity Improves Working Memory Performance in Virtual Reality

Chiossi,

Turgut,

Welsch

et al. 2023

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

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A Virtual Reality Framework for Human-Virtual Crowd Interaction Studies

Cited by 1 publication

References 35 publications

Adapting Visual Complexity Based on Electrodermal Activity Improves Working Memory Performance in Virtual Reality

Adapting Visual Complexity Based on Electrodermal Activity Improves Working Memory Performance in Virtual Reality

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