The Influence of Public Expectations on Simulated Emotional Perceptions of AI-Driven Government Chatbots: A Moderated Study

This study focuses on the impact of technological changes, particularly the development of generative artificial intelligence, on government–citizen interactions in the context of government services. From a psychological perspective with an emphasis on technological governance theory and emotional contagion theory, it examines public perceptions of the simulated emotions of governmental chatbots and investigates the moderating role of age. Data were collected through a multi-stage stratified purposive sampling method, yielding 194 valid responses from an original distribution of 300 experimental questionnaires between 24 September and 13 October 2023. The findings reveal that public expectations significantly enhance the simulated emotional perception of chatbots, with this effect being stronger among older individuals. Age shows significant main and interaction effects, indicating that different age groups perceive the simulated emotional capabilities of chatbots differently. This study highlights the transformative impact of generative artificial intelligence on government–citizen interactions and the importance of integrating AI technology into government services. It calls for governments to pay attention to public perceptions of the simulated emotions of governmental chatbots to enhance public experience.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2025-03-11
DOI
https://doi.org/10.3390/jtaer20010050
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
9.92
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article

The Influence of Public Expectations on Simulated Emotional Perceptions of AI-Driven Government Chatbots: A Moderated Study

Peng Dong, Yuanyuan Guo, Beichen Lu
4 citations
Journal of theoretical and applied electronic commerce research
AI in Service Interactions
9.92
article

The Influence of Public Expectations on Simulated Emotional Perceptions of AI-Driven Government Chatbots: A Moderated Study

Peng Dong, Yuanyuan Guo, Beichen Lu
article en
4 citations

Abstract

This study focuses on the impact of technological changes, particularly the development of generative artificial intelligence, on government–citizen interactions in the context of government services. From a psychological perspective with an emphasis on technological governance theory and emotional contagion theory, it examines public perceptions of the simulated emotions of governmental chatbots and investigates the moderating role of age. Data were collected through a multi-stage stratified purposive sampling method, yielding 194 valid responses from an original distribution of 300 experimental questionnaires between 24 September and 13 October 2023. The findings reveal that public expectations significantly enhance the simulated emotional perception of chatbots, with this effect being stronger among older individuals. Age shows significant main and interaction effects, indicating that different age groups perceive the simulated emotional capabilities of chatbots differently. This study highlights the transformative impact of generative artificial intelligence on government–citizen interactions and the importance of integrating AI technology into government services. It calls for governments to pay attention to public perceptions of the simulated emotions of governmental chatbots to enhance public experience.

Journal of theoretical and applied electronic commerce researchVol. 20(1)
Tsinghua University (CN)
Openalex Percentile: Top 3%
AI in Service Interactions
9.92
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The Influence of Public Expectations on Simulated Emotional Perceptions of AI-Driven Government Chatbots: A Moderated Study — Peng Dong, Yuanyuan Guo, et al. · Journal of theoretical and applied electronic commerce research (2025) | TGRS Research Map | TGRS