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Mine Yourself!: A Role-playing Privacy Tutorial in Virtual Reality Environment
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dc.contributor.author Lim, Junsu -
dc.contributor.author Yun, Hyeonggeun -
dc.contributor.author Ham, Auejin -
dc.contributor.author Kim, Sunjun -
dc.date.accessioned 2023-12-26T18:13:52Z -
dc.date.available 2023-12-26T18:13:52Z -
dc.date.created 2022-06-16 -
dc.date.issued 2022-05-03 -
dc.identifier.isbn 9781450391566 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46855 -
dc.description.abstract Virtual Reality (VR) has potential vulnerabilities in privacy risks from collecting a wide range of data with higher density. Various designs to provide information on Privacy Policy (PP) have improved the awareness and motivation towards privacy risks. However, most of them have focused on desktop environments, not utilizing the full potential of VR's immersive interactivity. Therefore, we proposed a role-playing mechanism to provide an immersive experience of interacting with PP's key entities. First, our formative study found insights for PP where VR users had limited awareness of what data to be collected and how to control them. Following this, we implemented a VR privacy tutorial based on our role-playing mechanism and PP from off-the-shelf VR devices. Our privacy tutorial increased a similar amount of privacy awareness with significantly higher satisfaction (p=0.007) than conventional PP. Our tutorial also showed marginally higher usability (p=0.11). © 2022 Owner/Author. -
dc.language English -
dc.publisher Association for Computing Machinery -
dc.relation.ispartof EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022 -
dc.title Mine Yourself!: A Role-playing Privacy Tutorial in Virtual Reality Environment -
dc.type Conference Paper -
dc.identifier.doi 10.1145/3491101.3519773 -
dc.identifier.wosid 001118038100354 -
dc.identifier.scopusid 2-s2.0-85129770296 -
dc.identifier.bibliographicCitation Lim, Junsu. (2022-05-03). Mine Yourself!: A Role-playing Privacy Tutorial in Virtual Reality Environment. ACM Conference on Human Factors in Computing Systems, 1–7. doi: 10.1145/3491101.3519773 -
dc.identifier.url https://programs.sigchi.org/chi/2022/index/content/73058 -
dc.citation.conferenceDate 2022-04-30 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace New OrleansNew Orleans, LA -
dc.citation.endPage 7 -
dc.citation.startPage 1 -
dc.citation.title ACM Conference on Human Factors in Computing Systems -
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김선준
Kim, Sunjun김선준

Department of Electrical Engineering and Computer Science

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