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Computer Science > Human-Computer Interaction

arXiv:2312.15582 (cs)
[Submitted on 25 Dec 2023]

Title:Decoding Fear: Exploring User Experiences in Virtual Reality Horror Games

Authors:He Zhang, Xinyang Li, Christine Qiu, Xinyi Fu
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Abstract:This preliminary study investigated user experiences in VR horror games, highlighting fear-triggering and gender-based differences in perception. By utilizing a scientifically validated and specially designed questionnaire, we successfully collected questionnaire data from 23 subjects for an early empirical study of fear induction in a virtual reality gaming environment. The early findings suggest that visual restrictions and ambient sound-enhanced realism may be more effective in intensifying the fear experience. Participants exhibited a tendency to avoid playing alone or during nighttime, underscoring the significant psychological impact of VR horror games. The study also revealed a distinct gender difference in fear perception, with female participants exhibiting a higher sensitivity to fear stimuli. However, the preference for different types of horror games was not solely dominated by males; it varied depending on factors such as the game's pace, its objectives, and the nature of the fear stimulant.
Comments: 9 pages, 4 figures, 7 tables, accepted by CHCHI2023
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2312.15582 [cs.HC]
  (or arXiv:2312.15582v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2312.15582

Submission history

From: He Zhang [view email]
[v1] Mon, 25 Dec 2023 01:40:38 UTC (4,785 KB)
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