“People are Way too Obsessed with Rank”: Trust System in Social Virtual Reality

dc.contributor.authorChen, Qijia
dc.contributor.authorCai, Jie
dc.contributor.authorJacucci, Giulio
dc.date.accessioned2025-06-06T05:07:52Z
dc.date.issued2024
dc.description.abstractSocial Virtual Reality (VR) is growing in popularity and has drawn the attention of HCI academics. Social VR experiences harassment just like other online environments. The Trust System (TS) in VRChat, one of the most prominent social VR platforms, is designed to measure and indicate users’ trustworthiness in order to reduce toxicity in the platform. In this research, we analyzed data from “r/VRChat,” to understand how users perceive the system. We found that users interpret the system differently. Problems in its implementation cause distrust. The trust ranks, while intended to promote positive interactions, can actually lead to stereotyping and discourage communication between users of different ranks. The hierarchical structure within the ranks exacerbates discrimination and conflicts, particularly against the low-ranked users. We further discuss that trust ranks present challenges to newcomers and contribute to a competitive atmosphere that hinders the formation of less toxic norms. Finally, we provide implications for the future design of similar systems.de
dc.identifier.doi10.1007/s10606-024-09498-7
dc.identifier.issn1573-7551
dc.identifier.urihttps://link.springer.com/article/10.1007/s10606-024-09498-7
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/5242
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 33, No. 4
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectComputer Application in Social and Behavioral Sciences
dc.subjectInternetpsychology
dc.subjectSocial Structure
dc.subjectSocial Behavior
dc.subjectSocial Perception
dc.subjectVirtual and Augmented Reality
dc.title“People are Way too Obsessed with Rank”: Trust System in Social Virtual Realityde
dc.typeText/Journal Article
gi.citation.endPage957
gi.citation.startPage925
gi.citations.count6
gi.citations.elementHe Zhang, Siyu Zha, Jie Cai, Donghee Yvette Wohn, John M. Carroll (2025): Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community, In: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, doi:10.1145/3706599.3720120
gi.citations.elementQijia Chen, Qunfang Wu, Giulio Jacucci (2025): Democratic Moderation: Exploring the Use and Perception of Votekicking in Social Virtual Reality, In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3706598.3713577
gi.citations.elementMaheshya Weerasinghe, Shaun Macdonald, Cristina Fiani, Joseph O'Hagan, Mathieu Chollet, Mark McGill, Mohamed Khamis (2025): Beyond Mute and Block: Adoption and Effectiveness of Safety Tools in Social VR, from Ubiquitous Harassment to Social Sculpting, In: IEEE Transactions on Visualization and Computer Graphics 5(31), doi:10.1109/tvcg.2025.3549860
gi.citations.elementQijia Chen, Andrea Bellucci, Jie Cai, Matti Nelimarkka, Giulio Jacucci (2025): Understanding "Mutes" in Social Virtual Reality, In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3706598.3714244
gi.citations.elementGiulio Jacucci, Andrea Bellucci, Imtiaj Ahmed, Ville Harjunen, Michiel Spape, Niklas Ravaja (2024): Haptics in social interaction with agents and avatars in virtual reality: a systematic review, In: Virtual Reality 4(28), doi:10.1007/s10055-024-01060-6
gi.citations.elementÁgnes Karolina Bakk, Mary Karyda, Borbála Tölgyesi (2025): Applying co-design in social VR, In: CoDesign, doi:10.1080/15710882.2025.2516664

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