Trust in machines: how personality trait shapes static and dynamic trust across different human–machine interaction modalities

With the rapid advancement of Artificial Intelligence (AI), intelligent machines are increasingly displaying "human-like personality," shifting Human-Machine Interaction (HMI) from one-way guidance to interactive, multi-level dynamics. Trust plays a pivotal role in the development and maintenance of these evolving interactions. While personality traits have been recognized as key factors in shaping and enhancing interpersonal trust, their role in the development of static and dynamic trust in HMI remains underexplored. This study investigates how personality traits influence trust in HMI across two interaction modalities: Personal Computer (PC) and Virtual Reality (VR). By simulating real-world interaction scenarios, we examined the impact of personality traits on both static and dynamic trust, and explored the relationship between them. The results showed that in the PC modality, personality traits significantly affected both static and dynamic trust, with static trust serving as a strong predictor of dynamic trust. In the VR modality, personality traits significantly influenced static trust, and static trust again played a key role in shaping dynamic trust. These findings underscore the foundational importance of static trust in the evolution of trust in HMI, and highlight the need to consider individual personality differences and interaction modalities in the design of AI-driven interfaces to foster trust and promote long-term engagement.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-04-29
DOI
https://doi.org/10.3389/fpsyg.2025.1539054
Citations
1
Primary Topic
Death Anxiety and Social Exclusion
Type
article
Field-Weighted Citation Impact
2.44

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Trust in machines: how personality trait shapes static and dynamic trust across different human–machine interaction modalities

Yi Zhu, Chang Wang, Mingwei Tang, Xiaoyin Liu et al.
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Frontiers in Psychology
Death Anxiety and Social Exclusion
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article

Trust in machines: how personality trait shapes static and dynamic trust across different human–machine interaction modalities

Yi Zhu, Chang Wang, Mingwei Tang, Xiaoyin Liu, Guiqi Hua
article en
1 citations

Abstract

With the rapid advancement of Artificial Intelligence (AI), intelligent machines are increasingly displaying "human-like personality," shifting Human-Machine Interaction (HMI) from one-way guidance to interactive, multi-level dynamics. Trust plays a pivotal role in the development and maintenance of these evolving interactions. While personality traits have been recognized as key factors in shaping and enhancing interpersonal trust, their role in the development of static and dynamic trust in HMI remains underexplored. This study investigates how personality traits influence trust in HMI across two interaction modalities: Personal Computer (PC) and Virtual Reality (VR). By simulating real-world interaction scenarios, we examined the impact of personality traits on both static and dynamic trust, and explored the relationship between them. The results showed that in the PC modality, personality traits significantly affected both static and dynamic trust, with static trust serving as a strong predictor of dynamic trust. In the VR modality, personality traits significantly influenced static trust, and static trust again played a key role in shaping dynamic trust. These findings underscore the foundational importance of static trust in the evolution of trust in HMI, and highlight the need to consider individual personality differences and interaction modalities in the design of AI-driven interfaces to foster trust and promote long-term engagement.

Frontiers in PsychologyVol. 16
National University of Defense Technology (CN), Nanjing Audit University (CN)
National Natural Science Foundation of China, Humanities and Social Science Fund of Ministry of Education of China, National College Students Innovation and Entrepreneurship Training Program
Openalex Percentile: Top 14%
Death Anxiety and Social Exclusion
2.44
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