The Exploration and Evaluation of Generating Affective 360$^\circ$ Panoramic VR Environments Through Neural Style Transfer
February 14, 2023 Β· Declared Dead Β· π 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
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Authors
Yanheng Li, Long Bai, Yaxuan Mao, Xuening Peng, Zehao Zhang, Xin Tong, Ray LC
arXiv ID
2303.13535
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Last Checked
4 months ago
Abstract
Affective virtual reality (VR) environments with varying visual style can impact users' valence and arousal responses. We applied Neural Style Transfer (NST) to generate 360$^\circ$ VR environments that elicited users' varied valence and arousal responses. From a user study with 30 participants, findings suggested that generative VR environments changed participants' arousal responses but not their valence levels. The generated visual features, e.g., textures and colors, also altered participants' affective perceptions. Our work contributes novel insights about how users respond to generative VR environments and provided a strategy for creating affective VR environments without altering content.
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