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Abstract

Understanding the thought process behind users’ disclosure of sensitive personal information in the Virtual Reality (VR) context is essential for addressing the unique privacy issues posed by the extensive and distinctive data collection of VR. Our research focuses on understanding VR users’ underlying motivations for disclosing personal information or withholding it while they access VR services. We designed twelve game-based scenarios to simulate real-life privacy challenges encountered during VR usage and recruited participants to engage with these scenarios. Our proposed structural equation model suggests that disclosure decisions are influenced by anticipated outcomes, trust, and perceived risks, contingent upon the type of data being collected. In addition, the semantic analysis revealed VR users’ disclosure decisions were shaped by their perceptions of data sensitivity, expectations of potential outcomes, and past experiences with data collection. Our study offers insights into privacy-centric designs and guide the development of responsible interactions in the VR environment.

Keywords

virtual reality extended realities user experience human factors and behavior cybersecurity

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References

Adams

Bah

Barwulor

Musaby

Pitkin

Redmiles

E. M.

(2018). Ethics emerging: the story of privacy and security perceptions in virtual reality. In Fourteenth Symposium on Usable Privacy and Security (SOUPS 2018) (pp. 427–442), Baltimore, MD. USENIX Association.

Heirman

Walrave

Ponnet

Gool

E. V.

(2013). Predicting adolescents’ willingness to disclose personal information to a commercial website: Testing the applicability of a trust-based model. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 7(3), 3.

Husca

(2024). Feeling uneasy in VR? measuring user perception of data collection practices in extended reality. In ACM Symposium on Applied Perception 2024, SAP ‘24, New York, NY, USA. Association for Computing Machinery.

Igolkina

A. A.

Meshcheryakov

(2020). Semopy: A python package for structural equation modeling. Structural Equation Modeling A Multidisciplinary Journal, 27(6), 952–963.

Javaid

Haleem

(2020). Virtual reality applications toward medical field. Clinical Epidemiology and Global Health, 8(2), 600–605.

Lim

Yun

Ham

Kim

(2022). Mine yourself!: A role-playing privacy tutorial in virtual reality environment. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, CHI EA ‘22, New York, NY, USA. Association for Computing Machinery.

Maloney

Zamanifard

Freeman

(2020). Anonymity vs. familiarity: Self-disclosure and privacy in social virtual reality. In Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology, VRST ‘20, New York, NY, USA. Association for Computing Machinery.

O’Hagan

Saeghe

Gugenheimer

Medeiros

Marky

Khamis

McGill

(2022). Privacy-enhancing technology and everyday augmented reality: Understanding bystanders’ varying needs for awareness and consent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(4), 1–35.

Pfeuffer

Geiger

M. J.

Prange

Mecke

Buschek

Alt

(2019). Behavioural biometrics in VR: Identifying people from body motion and relations in virtual reality. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ‘19 (pp. 1–12), New York, NY, USA. Association for Computing Machinery.

10.

Singh

Bhardwaj

Singh

S. V.

Garg

(2021). Biometric identification system: security and privacy concern. Artificial intelligence for a sustainable industry 4.0, pages 245–264.

11.

Sykownik

Maloney

Freeman

Masuch

(2022). Something personal from the metaverse: Goals, topics, and contextual factors of self-disclosure in commercial social VR. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, CHI ‘22, New York, NY, USA. Association for Computing Machinery.

12.

Wang

Zhang

Xing

Liu

Luan

T. H.

Shen

(2023). A survey on metaverse: Fundamentals, security, and privacy. IEEE Communications Surveys & Tutorials, 25(1), 319–352.

Understanding User Privacy and Disclosure Decisions in Virtual Reality

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References