“It would probably turn into a social faux-pas”: Users’ and Bystanders’ Preferences of Privacy Awareness Mechanisms in Smart Homes

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dc.contributor.authorThakkar, Parth
dc.contributor.authorHe, Shijing
dc.contributor.authorXu, Shiyu
dc.contributor.authorHuang, Danny Yuxing
dc.contributor.authorYao, Yaxing
dc.date.accessioned2022-06-23T15:22:34Z
dc.date.available2022-06-23T15:22:34Z
dc.date.issued2022-04-29
dc.descriptionCHI ’22, April 29-May 5, 2022, New Orleans, LA, USAen_US
dc.description.abstractThe opaque data practices in smart home devices have raised significant privacy concerns for smart home users and bystanders. One way to learn about the data practices is through privacy-related notifications. However, how to deliver these notifications to users and bystanders and increase their awareness of data practices is not clear. We surveyed 136 users and 123 bystanders to understand their preferences of receiving privacy-related notifications in smart homes. We further collected their responses to four mechanisms that improve privacy awareness (e.g., Data Dashboard) as well as their selections of mechanisms in four different scenarios (e.g., friend visiting). Our results showed the pros and cons of each privacy awareness mechanism, e.g., Data Dashboard can help reduce bystanders’ dependence on users. We also found some unique benefits of each mechanism (e.g., Ambient Light could provide unobtrusive privacy awareness). We summarized four key design dimensions for future privacy awareness mechanisms design.en_US
dc.description.urihttp://www.yaxingyao.com/document/smart-home-notification.pdfen_US
dc.description.urihttps://www.youtube.com/watch?v=4Pao_Dg9C2Y
dc.format.extent13 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2iqdo-qpub
dc.identifier.citationParth Kirankumar Thakkar, Shijing He, Shiyu Xu, Danny Yuxing Huang, and Yaxing Yao. 2022. “It would probably turn into a social faux-pas”: Users’ and Bystanders’ Preferences of Privacy Awareness Mechanisms in Smart Homes. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 404, 1–13. https://doi.org/10.1145/3491102.3502137en_US
dc.identifier.urihttps://doi.org/10.1145/3491102.3502137
dc.identifier.urihttp://hdl.handle.net/11603/25024
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.title“It would probably turn into a social faux-pas”: Users’ and Bystanders’ Preferences of Privacy Awareness Mechanisms in Smart Homesen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-5759-9793en_US

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