Exploring Smart Device Privacy: An Examination of Factors Affecting User Concerns, Protection, Satisfaction with Privacy Defense, and Need for Regulations

Smart devices—Internet-connected electronics that collect, interact, and share data with other devices and users—have benefits that coincide with privacy threats from smart devices collecting and sharing information. Applying multiple regression analysis and the privacy calculus theory, we analyzed 500 survey responses from U.S. smart devices that we categorized as communication and information, entertainment, health and wellness, convenience, and home security devices. We identified four dimensions of smart device privacy—privacy concern, privacy protection behavior, satisfaction with privacy defense, and need for regulation—and found smart device factors and privacy factors significantly and differently influence perceptions of smart device privacy. Among smart device factors, device use and extrinsic motivation are associated with privacy protection behaviors. Among privacy factors, influences of privacy literacy were found from all privacy measures. Privacy literacy and privacy fatigue were associated with need for regulation and satisfaction with privacy defense from manufacturers and policymakers.

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Publication Details

Journal
Mass Communication & Society
Published
2025-10-13
DOI
https://doi.org/10.1080/15205436.2025.2569459
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
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article

Exploring Smart Device Privacy: An Examination of Factors Affecting User Concerns, Protection, Satisfaction with Privacy Defense, and Need for Regulations

Jessica Shaw, Erin K. Coyle, Yongick Jeong
Mass Communication & Society
Privacy, Security, and Data Protection
article

Exploring Smart Device Privacy: An Examination of Factors Affecting User Concerns, Protection, Satisfaction with Privacy Defense, and Need for Regulations

Jessica Shaw, Erin K. Coyle, Yongick Jeong
article en

Abstract

Smart devices—Internet-connected electronics that collect, interact, and share data with other devices and users—have benefits that coincide with privacy threats from smart devices collecting and sharing information. Applying multiple regression analysis and the privacy calculus theory, we analyzed 500 survey responses from U.S. smart devices that we categorized as communication and information, entertainment, health and wellness, convenience, and home security devices. We identified four dimensions of smart device privacy—privacy concern, privacy protection behavior, satisfaction with privacy defense, and need for regulation—and found smart device factors and privacy factors significantly and differently influence perceptions of smart device privacy. Among smart device factors, device use and extrinsic motivation are associated with privacy protection behaviors. Among privacy factors, influences of privacy literacy were found from all privacy measures. Privacy literacy and privacy fatigue were associated with need for regulation and satisfaction with privacy defense from manufacturers and policymakers.

Mass Communication & Society
Louisiana State University (US), Temple College (US), Arizona State University (US), Temple University (US)
Openalex Percentile: Top 62%
Privacy, Security, and Data Protection
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Exploring Smart Device Privacy: An Examination of Factors Affecting User Concerns, Protection, Satisfaction with Privacy Defense, and Need for Regulations — Jessica Shaw, Erin K. Coyle, et al. · Mass Communication & Society (2025) | TGRS Research Map | TGRS