Consumers' Privacy in Voice Assistant: A Systematic Literature Review and Research Agenda

ABSTRACT Voice assistant represents one of the most prevalent AI applications and has transformed various aspects of consumers' daily lives. Nevertheless, privacy remains a major barrier to their sustained success, underscoring the importance of synthesizing existing scholarship to develop a comprehensive understanding on this topic. This study conducts a systematic literature review on consumers' privacy in VA by integrating the Theory‐Context‐Methodology and Antecedent‐Decision‐Outcome frameworks, based on 52 articles retrieved from the Web of Science and Scopus databases. The review synthesizes the theories, contexts and methodologies adopted across prior studies, while also examining the antecedents, decisions and outcomes discussed in the literature to clarify the key constructs and their interrelationships. Buildin g on this foundation, it identifies critical gaps in current research and outlines concrete directions for further investigation. The findings generate meaningful insights for scholars and deliver practical implications for practitioners in the voice assistant industry.

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Publication Details

Journal
Security and Privacy
Published
2026-01-20
DOI
https://doi.org/10.1002/spy2.70191
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Consumers' Privacy in Voice Assistant: A Systematic Literature Review and Research Agenda

Le Zhang, Hafizah Omar Zaki, Wei Ran
Security and Privacy
AI in Service Interactions
article

Consumers' Privacy in Voice Assistant: A Systematic Literature Review and Research Agenda

Le Zhang, Hafizah Omar Zaki, Wei Ran
article en

Abstract

ABSTRACT Voice assistant represents one of the most prevalent AI applications and has transformed various aspects of consumers' daily lives. Nevertheless, privacy remains a major barrier to their sustained success, underscoring the importance of synthesizing existing scholarship to develop a comprehensive understanding on this topic. This study conducts a systematic literature review on consumers' privacy in VA by integrating the Theory‐Context‐Methodology and Antecedent‐Decision‐Outcome frameworks, based on 52 articles retrieved from the Web of Science and Scopus databases. The review synthesizes the theories, contexts and methodologies adopted across prior studies, while also examining the antecedents, decisions and outcomes discussed in the literature to clarify the key constructs and their interrelationships. Buildin g on this foundation, it identifies critical gaps in current research and outlines concrete directions for further investigation. The findings generate meaningful insights for scholars and deliver practical implications for practitioners in the voice assistant industry.

Security and PrivacyVol. 9(2)
Taishan University (CN), National University of Malaysia (MY)
Openalex Percentile: Top 83%
AI in Service Interactions
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