Exploring Smart Commercial Building Occupants' Perceptions and Notification Preferences of Internet of Things Data Collection in the United States

dc.contributor.authorLe, Tu
dc.contributor.authorWang, Alan
dc.contributor.authorYao, Yaxing
dc.contributor.authorFeng, Yuanyuan
dc.contributor.authorHeydarian, Arsalan
dc.contributor.authorSadeh, Norman
dc.contributor.authorTian, Yuan
dc.date.accessioned2023-04-17T19:06:07Z
dc.date.available2023-04-17T19:06:07Z
dc.date.issued2023-03-09
dc.description.abstractData collection through the Internet of Things (IoT) devices, or smart devices, in commercial buildings enables possibilities for increased convenience and energy efficiency. However, such benefits face a large perceptual challenge when being implemented in practice, due to the different ways occupants working in the buildings understand and trust in the data collection. The semi-public, pervasive, and multi-modal nature of data collection in smart buildings points to the need to study occupants’ understanding of data collection and notification preferences. We conduct an online study with 492 participants in the US who report working in smart commercial buildings regarding: 1) awareness and perception of data collection in smart commercial buildings, 2) privacy notification preferences, and 3) potential factors for privacy notification preferences. We find that around half of the participants are not fully aware of the data collection and use practices of IoT even though they notice the presence of IoT devices and sensors. We also discover many misunderstandings around different data practices. The majority of participants want to be notified of data practices in smart buildings, and they prefer push notifications to passive ones such as websites or physical signs. Surprisingly, mobile app notification, despite being a popular channel for smart homes, is the least preferred method for smart commercial buildings.en_US
dc.description.sponsorshipThis research was supported in part by the National Science Foundation (NSF) Secure and Trustworthy Computing program (Grants CNS-1801316). The US Government is authorized to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notices thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies or endorsements, either expressed or implied of NSF or the US Government. This research was also partially funded by an internal grant at the University of Maryland, Baltimore County. We thank Clay Ford from UVA Stat Lab for providing statistical consulting and UVA Link Lab for providing feedback on the study design. We also thank our shepherd and anonymous reviewers for their constructive comments on this research.en_US
dc.description.urihttps://arxiv.org/abs/2303.04955en_US
dc.format.extent17 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m20bcr-qhry
dc.identifier.urihttps://doi.org/10.48550/arXiv.2303.04955
dc.identifier.urihttp://hdl.handle.net/11603/27615
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty 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.titleExploring Smart Commercial Building Occupants' Perceptions and Notification Preferences of Internet of Things Data Collection in the United Statesen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-5759-9793en_US

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