Unraveling the Influential Mechanisms of Smart Interactions on Stickiness Intention: A Privacy Calculus Perspective

Artificial intelligence (AI) technologies are changing the ways of interaction between humans and machines, and smart interactions have become one of the hot topics of artificial intelligent in-home voice assistants (AVAs) by connecting humans, machines, content, and AVAs. Based on the privacy calculus theory (PCT), the authors conducted an online questionnaire-based survey to investigate the influential mechanisms of smart interactions on stickiness intention (SI), demonstrated the positive (negative) effects of smart interactions on benefits and risks, and verified the moderating role of susceptibility to normative influence (SNI). The results show that smart interactions positively impact SI via utilitarian benefit and hedonic benefit; humanness has a U-shaped effect on privacy risk; personalization, connectivity, and linkage positively impact privacy risk; multimodal control negatively impacts privacy risk; and SNI positively moderates the effects of smart interactions on stickiness intention. The study enriched and expanded the literature on smart interactions in the context of AIoT and offered practical implications for AVA service providers and developers to design or optimize smart interactions for AI interactive services. By examining the double-edged sword effects of personalization and humanness, our findings offer novel insights into the privacy calculus in smart interactions.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2024-09-26
DOI
https://doi.org/10.3390/jtaer19040124
Citations
5
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
5.66

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article

Unraveling the Influential Mechanisms of Smart Interactions on Stickiness Intention: A Privacy Calculus Perspective

Xinjian Liang, Jiaolong Xue, Jinyi He
5 citations
Journal of theoretical and applied electronic commerce research
Privacy, Security, and Data Protection
5.66
article

Unraveling the Influential Mechanisms of Smart Interactions on Stickiness Intention: A Privacy Calculus Perspective

Xinjian Liang, Jiaolong Xue, Jinyi He
article en
5 citations

Abstract

Artificial intelligence (AI) technologies are changing the ways of interaction between humans and machines, and smart interactions have become one of the hot topics of artificial intelligent in-home voice assistants (AVAs) by connecting humans, machines, content, and AVAs. Based on the privacy calculus theory (PCT), the authors conducted an online questionnaire-based survey to investigate the influential mechanisms of smart interactions on stickiness intention (SI), demonstrated the positive (negative) effects of smart interactions on benefits and risks, and verified the moderating role of susceptibility to normative influence (SNI). The results show that smart interactions positively impact SI via utilitarian benefit and hedonic benefit; humanness has a U-shaped effect on privacy risk; personalization, connectivity, and linkage positively impact privacy risk; multimodal control negatively impacts privacy risk; and SNI positively moderates the effects of smart interactions on stickiness intention. The study enriched and expanded the literature on smart interactions in the context of AIoT and offered practical implications for AVA service providers and developers to design or optimize smart interactions for AI interactive services. By examining the double-edged sword effects of personalization and humanness, our findings offer novel insights into the privacy calculus in smart interactions.

Journal of theoretical and applied electronic commerce researchVol. 19(4)
Sichuan University (CN), Chengdu Normal University (CN)
Sun Yat-sen University, China Postdoctoral Science Foundation, Sichuan University, Fundamental Research Funds for the Central Universities
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Privacy, Security, and Data Protection
5.66
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Unraveling the Influential Mechanisms of Smart Interactions on Stickiness Intention: A Privacy Calculus Perspective — Xinjian Liang, Jiaolong Xue, et al. · Journal of theoretical and applied electronic commerce research (2024) | TGRS Research Map | TGRS