Towards Understanding Harassment in Social Virtual Reality: A Study Design on the Impact of Avatar Self-Similarity
J. Tschanter, C. Merz, C. Wienrich, and M. Latoschik. 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VRW), IEEE Computer Science, (March 2025)
Abstract
In social virtual reality (VR), harassment persists as a pervasive and critical issue. Prior work emphasizes its perceived realness and emotional impact. However, the influence of avatar design, particularly the role of self-similarity, remains underexplored. Self-similar avatars can enhance user identification and engagement, yet potentially intensify the psychological and physiological effects of harassment. Existing studies often rely on interviews or user-generated content, lacking systematic analysis and controlled comparisons. To address these gaps, we present a process for creating realistic VR harassment scenarios. We built a scenario based on existing literature and validated it with expert reviews and user feedback. We propose a 2 x 2 between-subjects design to systematically examine users' emotional and physiological states, their identification with avatars, and the effects of avatar self-similarity. The study design will deepen the understanding of harassment dynamics in VR. Additionally, it can provide actionable insights for designing safer, more inclusive virtual environments that promote user well-being and foster equitable communities.
%0 Conference Paper
%1 tschanter2025harassment
%A Tschanter, Jonathan
%A Merz, Christian
%A Wienrich, Carolin
%A Latoschik, Marc Erich
%B 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VRW)
%D 2025
%I IEEE Computer Science
%K c.wienrich hiava merz myown piis tschanter
%T Towards Understanding Harassment in Social Virtual Reality: A Study Design on the Impact of Avatar Self-Similarity
%U https://downloads.hci.informatik.uni-wuerzburg.de/2025-ieeevrw-towards-understanding-harassment-in-social-virtual-reality.pdf
%X In social virtual reality (VR), harassment persists as a pervasive and critical issue. Prior work emphasizes its perceived realness and emotional impact. However, the influence of avatar design, particularly the role of self-similarity, remains underexplored. Self-similar avatars can enhance user identification and engagement, yet potentially intensify the psychological and physiological effects of harassment. Existing studies often rely on interviews or user-generated content, lacking systematic analysis and controlled comparisons. To address these gaps, we present a process for creating realistic VR harassment scenarios. We built a scenario based on existing literature and validated it with expert reviews and user feedback. We propose a 2 x 2 between-subjects design to systematically examine users' emotional and physiological states, their identification with avatars, and the effects of avatar self-similarity. The study design will deepen the understanding of harassment dynamics in VR. Additionally, it can provide actionable insights for designing safer, more inclusive virtual environments that promote user well-being and foster equitable communities.
@inproceedings{tschanter2025harassment,
abstract = {In social virtual reality (VR), harassment persists as a pervasive and critical issue. Prior work emphasizes its perceived realness and emotional impact. However, the influence of avatar design, particularly the role of self-similarity, remains underexplored. Self-similar avatars can enhance user identification and engagement, yet potentially intensify the psychological and physiological effects of harassment. Existing studies often rely on interviews or user-generated content, lacking systematic analysis and controlled comparisons. To address these gaps, we present a process for creating realistic VR harassment scenarios. We built a scenario based on existing literature and validated it with expert reviews and user feedback. We propose a 2 x 2 between-subjects design to systematically examine users' emotional and physiological states, their identification with avatars, and the effects of avatar self-similarity. The study design will deepen the understanding of harassment dynamics in VR. Additionally, it can provide actionable insights for designing safer, more inclusive virtual environments that promote user well-being and foster equitable communities.},
added-at = {2025-02-10T10:25:07.000+0100},
author = {Tschanter, Jonathan and Merz, Christian and Wienrich, Carolin and Latoschik, Marc Erich},
biburl = {https://www.bibsonomy.org/bibtex/2f52c5f543ee47aa2d9d7b96b22c68856/hci-uwb},
booktitle = {2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VRW)},
eventtitle = {The 32nd IEEE Conference on Virtual Reality and 3D User Interfaces},
interhash = {781a5f26e38bba11800bb93b9852bd7a},
intrahash = {f52c5f543ee47aa2d9d7b96b22c68856},
keywords = {c.wienrich hiava merz myown piis tschanter},
month = {March},
publisher = {IEEE Computer Science},
timestamp = {2025-03-14T19:36:12.000+0100},
title = {Towards Understanding Harassment in Social Virtual Reality: A Study Design on the Impact of Avatar Self-Similarity},
url = {https://downloads.hci.informatik.uni-wuerzburg.de/2025-ieeevrw-towards-understanding-harassment-in-social-virtual-reality.pdf},
venue = {Saint-Malo, France},
year = 2025
}