Effects of Anthropomorphism and Belief in Positive Machine Heuristics on Disclosure Intention in AI-Powered Digital Twin Cities: A Privacy Calculus Perspective

Artificial Intelligence (AI) is increasingly used for data collection, integration, and predictive analysis in large-scale public projects like digital twin cities—virtual replicas of real-world cities. However, privacy concerns remain, particularly when personal data is involved. While research indicates people may be more willing to disclose private information to AI systems than to humans, the privacy-related psychological mechanisms in human-AI interaction remain unclear. This study examines how anthropomorphism and belief in positive machine heuristics interact to influence personal data disclosure intention in AI-powered digital twin cities. Results from an online survey in Singapore (N = 1,000) reveal that belief in positive machine heuristics is associated with greater perceived benefits, lower perceived privacy risks, and greater disclosure intention. Anthropomorphism, however, showed a dual mechanism, associated with both higher perceived privacy risks and greater disclosure intention. Additionally, anthropomorphism is positively associated with perceived benefits, but only when belief in positive machine heuristics is low.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2025-09-22
DOI
https://doi.org/10.1080/10447318.2025.2560513
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

Effects of Anthropomorphism and Belief in Positive Machine Heuristics on Disclosure Intention in AI-Powered Digital Twin Cities: A Privacy Calculus Perspective

Justin C. Cheung, Junru Huang, Shirley S. Ho
International Journal of Human-Computer Interaction
Privacy, Security, and Data Protection
article

Effects of Anthropomorphism and Belief in Positive Machine Heuristics on Disclosure Intention in AI-Powered Digital Twin Cities: A Privacy Calculus Perspective

Justin C. Cheung, Junru Huang, Shirley S. Ho
article en

Abstract

Artificial Intelligence (AI) is increasingly used for data collection, integration, and predictive analysis in large-scale public projects like digital twin cities—virtual replicas of real-world cities. However, privacy concerns remain, particularly when personal data is involved. While research indicates people may be more willing to disclose private information to AI systems than to humans, the privacy-related psychological mechanisms in human-AI interaction remain unclear. This study examines how anthropomorphism and belief in positive machine heuristics interact to influence personal data disclosure intention in AI-powered digital twin cities. Results from an online survey in Singapore (N = 1,000) reveal that belief in positive machine heuristics is associated with greater perceived benefits, lower perceived privacy risks, and greater disclosure intention. Anthropomorphism, however, showed a dual mechanism, associated with both higher perceived privacy risks and greater disclosure intention. Additionally, anthropomorphism is positively associated with perceived benefits, but only when belief in positive machine heuristics is low.

International Journal of Human-Computer Interaction
Nanyang Technological University (SG), Singapore-HUJ Alliance for Research and Enterprise (SG), Singapore-MIT Alliance for Research and Technology (SG)
Openalex Percentile: Top 66%
Privacy, Security, and Data Protection
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