September 10, 2025

Building Human-AI Trust in the Era of Intelligent Vehicles: Risk Perception and Acceptance Mechanisms for Future Mobility Societies

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Authors

YDYanan Dang SESiegfried M. EroritaUniversity of the Cordilleras

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Implication

Mixed-method approach identifies risk perception and trust factors affecting acceptance of intelligent vehicles, suggesting pathways for industry stakeholders.

Key Points

Trust serves as a critical mediator in translating risk perceptions to behavioral intentions toward intelligent vehicles.
Quantitative surveys with 1,247 participants and qualitative interviews reveal the importance of trust dimensions: competence, benevolence, and integrity.
The study employs a mixed-method design, combining surveys and interviews to test an integrated framework on trust and acceptance mechanisms.
Findings highlight the need for transparent communication and experiential learning to foster trust and acceptance of autonomous vehicles.

Cite This Study

Dang et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64794dd8 https://doi.org/10.63808/ihf.v1i2.179

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Implication

Mixed-method approach identifies risk perception and trust factors affecting acceptance of intelligent vehicles, suggesting pathways for industry stakeholders.

Building Human-AI Trust in the Era of Intelligent Vehicles: Risk Perception and Acceptance Mechanisms for Future Mobility Societies

Discussion

Member takes

Implication

Key Points

Cite This Study

Building Human-AI Trust in the Era of Intelligent Vehicles: Risk Perception and Acceptance Mechanisms for Future Mobility Societies

Discussion

Member takes

Implication

Key Points

Cite This Study

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