AIoT-enabled smart surveillance for personal data digitalization: Contextual personalization-privacy paradox in smart home

被引：37
|
作者：
Zhang, Fengjiao [1 ]
Pan, Zhao [1 ]
Lu, Yaobin [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China
来源：
INFORMATION & MANAGEMENT | 2023年 / 60卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence of things (AIoT); Smart surveillance; CPSS perspective; Contextual personalization-privacy paradox; Personal data digitalization; Smart home; INTERNET-OF-THINGS; INFORMATION PRIVACY; ELECTRONIC SURVEILLANCE; EMPIRICAL-EXAMINATION; USER ACCEPTANCE; SELF-TRACKING; TECHNOLOGY; ADOPTION; SYSTEMS; CONSUMERS;
D O I：
10.1016/j.im.2022.103736
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial intelligence of things technology provides smart surveillance capability for personal data digitalization. It will invade individuals' information, physical, and social spaces and raise contextual privacy concerns while providing personalized services, which has not been explored in previous research. We theorize three types of smart surveillance and identify three subdimensions of contextual personalization and privacy concerns. Grounded in surveillance theory and personalization-privacy paradox, we examined the different trade-offs of contextual personalization and privacy concerns underlying the three types of smart surveillance on users' behavioral intention in smart home context. The results also indicated that transparency can lessen the trade-off effects.
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页数：16
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