Shaping attitudes toward artificial intelligence: A convergence of two models

• Theoretical models of AI attitude formation are presented. • The IMPACT and Five-Factor-Model shedding light on AI attitudes are compared. • A synthesis of both models is provided. The AI revolution is impacting societies around the globe. Therefore, there is an urgent need to assess individual differences in attitudes toward AI to better understand how people perceive this technology being added to a growing number of products and services. The present short paper aims to bring together two recent frameworks called IMPACT framework and the Five-Factor-Model, which explicitly have been developed to understand AI attitude formation. Insights from these models can provide researchers with a comprehensive model to guide their research. Comparing and providing a synthesis of both theories help to see where independent working research groups come to same conclusions and where differences occur. Finally, we provide insights into the current situation of AI attitude measurement, whereas AI attitudes are the focus of both theoretical models discussed.

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Publication Details

Journal
Telematics and Informatics Reports
Published
2026-01-04
DOI
https://doi.org/10.1016/j.teler.2026.100290
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Shaping attitudes toward artificial intelligence: A convergence of two models

Christian Montag, Raian Ali, Cheng-Zhong Xu
Telematics and Informatics Reports
AI in Service Interactions
article

Shaping attitudes toward artificial intelligence: A convergence of two models

Christian Montag, Raian Ali, Cheng-Zhong Xu
article en

Abstract

• Theoretical models of AI attitude formation are presented. • The IMPACT and Five-Factor-Model shedding light on AI attitudes are compared. • A synthesis of both models is provided. The AI revolution is impacting societies around the globe. Therefore, there is an urgent need to assess individual differences in attitudes toward AI to better understand how people perceive this technology being added to a growing number of products and services. The present short paper aims to bring together two recent frameworks called IMPACT framework and the Five-Factor-Model, which explicitly have been developed to understand AI attitude formation. Insights from these models can provide researchers with a comprehensive model to guide their research. Comparing and providing a synthesis of both theories help to see where independent working research groups come to same conclusions and where differences occur. Finally, we provide insights into the current situation of AI attitude measurement, whereas AI attitudes are the focus of both theoretical models discussed.

Telematics and Informatics ReportsVol. 21
University of Macau (MO), Hamad bin Khalifa University (QA)
Openalex Percentile: Top 96%
AI in Service Interactions
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