November 30, 2025Journal of Hospitality and Tourism Technology

Artificial intelligence at the wheel: exploring tourists’ trust in autonomous vehicles through a time-lagged survey

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Authors

JTJia TingliUCSI University EAEugene Cheng-Xi Aw HHHon Tat Huam

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Implication

Quantitative assessment explores accessibility and thought autonomy's effects on tourists' trust in autonomous vehicles, with implications for the tourism industry.

Key Points

Tourists' trust in autonomous vehicles is significantly shaped by thought autonomy and accessibility, highlighting critical factors for acceptance.
Key evidence indicates that thought autonomy is essential for memorable experiences, influencing tourists' trust levels.
Study utilized a quantitative method with partial least squares structural equation modeling to analyze relationships in different variables.
The findings underline implications for AI technology used by car manufacturers in the tourism industry to enhance trust and experiences.

Cite This Study

Tingli et al. (2025) studied this question.

synapsesocial.com/papers/692b9da91d383f2b2a37a461 https://doi.org/10.1108/jhtt-04-2025-0334

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Implication

Quantitative assessment explores accessibility and thought autonomy's effects on tourists' trust in autonomous vehicles, with implications for the tourism industry.

Artificial intelligence at the wheel: exploring tourists’ trust in autonomous vehicles through a time-lagged survey

Discussion

Member takes

Implication

Key Points

Cite This Study

Artificial intelligence at the wheel: exploring tourists’ trust in autonomous vehicles through a time-lagged survey

Discussion

Member takes

Implication

Key Points

Cite This Study

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