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ORIGINAL RESEARCH article
Front. Psychol.
Sec. Personality and Social Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1539054
Trust in Machines: How Personality Trait Shapes Static and Dynamic Trust Across Different Human-Machine Interaction Modalities
Provisionally accepted- 1Nanjing Audit University, Nanjing, China
- 2National University of Defense Technology, Changsha, Hunan Province, China
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With the rapid advancement of Artificial Intelligence (AI) technology, intelligent machines are increasingly exhibiting "human-like personality," transforming the Human-Machine Interaction from one-way guidance to interactive, multi-level dynamics. In this evolving relationship, human trust in intelligent machines plays a pivotal role in its establishment and maintenance. While personality trait has been identified as a key factor in shaping and strengthening trust, its role in the development of Human-Machine trust-spanning static and dynamic dimensions-remains underexplored, with limited theoretical and empirical research. This study investigates the impact of personality trait on both static and dynamic trust across two distinct interaction modalities: Personal Computer (PC) and Virtual Reality (VR). By simulating real Human-Machine Interaction, this research examines how personality trait influences trust development and explores the relationship between static and dynamic trust. The findings reveal that on the PC modality, personality trait significantly influences both static and dynamic trust, with static trust serving as a strong predictor of dynamic trust. On the VR modality, personality trait significantly impacts static trust, while static trust again plays a crucial role in shaping dynamic trust. These results highlight the foundational role of static trust in trust evolution and underscore the importance of individual differences in designing AI-driven interfaces. By accounting for user personality trait and interaction modalities, designers can create personalized, engaging experiences that foster trust and enhance long-term Human-Machine Interaction.
Keywords: human-machine interaction, Dynamic trust, personality trait, artificial intelligence, Interaction modalities
Received: 03 Dec 2024; Accepted: 11 Apr 2025.
Copyright: © 2025 Zhu, 化, Liu, Wang and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: 贵啟 化, Nanjing Audit University, Nanjing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.