Charting the Unseen: A Systematic Review of Risk Perception in Emerging Technologies

Various emerging technologies are attracting great attention and discussion these days, such as mixed reality headsets and ChatGPT. However, the associated risk perceptions remain underexplored, posing potential barriers to public acceptance and adoption. This study aims to systematically review the current research state on risk perception in the context of emerging technologies. A total of 403 articles were selected and analyzed to identify publication trends and key research themes. The analysis reveals a surge in scholarly interest from 2020 onwards, with AI technology being the predominant focus of risk perception research. Key themes encompass the characteristics of technological risk perception, including its manifestations, determinants, and dimensions. It further examines the interaction between risk perception and emerging technologies. Based on the findings, research gaps and future research directions are proposed. This review advances the psychological understanding of emerging technologies by synthesizing fragmented research on risk perception. It will support the development of practical strategies for effective risk communication and responsible technology deployment.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3604850
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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article

Charting the Unseen: A Systematic Review of Risk Perception in Emerging Technologies

Yong Feng, Bon‐Gang Hwang
2 citations
IEEE Transactions on Engineering Management
Big Data and Business Intelligence
4.57
article

Charting the Unseen: A Systematic Review of Risk Perception in Emerging Technologies

Yong Feng, Bon‐Gang Hwang
article en
2 citations

Abstract

Various emerging technologies are attracting great attention and discussion these days, such as mixed reality headsets and ChatGPT. However, the associated risk perceptions remain underexplored, posing potential barriers to public acceptance and adoption. This study aims to systematically review the current research state on risk perception in the context of emerging technologies. A total of 403 articles were selected and analyzed to identify publication trends and key research themes. The analysis reveals a surge in scholarly interest from 2020 onwards, with AI technology being the predominant focus of risk perception research. Key themes encompass the characteristics of technological risk perception, including its manifestations, determinants, and dimensions. It further examines the interaction between risk perception and emerging technologies. Based on the findings, research gaps and future research directions are proposed. This review advances the psychological understanding of emerging technologies by synthesizing fragmented research on risk perception. It will support the development of practical strategies for effective risk communication and responsible technology deployment.

IEEE Transactions on Engineering ManagementVol. 72
National University of Singapore (SG)
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.57
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Charting the Unseen: A Systematic Review of Risk Perception in Emerging Technologies — Yong Feng, Bon‐Gang Hwang · IEEE Transactions on Engineering Management (2025) | TGRS Research Map | TGRS