Exploring the relationships between individual cultural values and initial trust in automated driving systems: a separate examination of cognition-based and affect-based trust

Initial trust prior to actual interaction influences the acceptance and subsequent use of automated driving systems (ADSs) and is potentially associated with individuals’ individual cultural values (ICVs). Extending prior work that examined the separate associations between selected ICVs drawn from Hofstede’s cultural framework and initial trust in automation, this study aims to construct a unified analytical model to examine the joint effects of all Hofstede’s cultural dimensions on initial trust in ADS, while controlling for the potential confounding effects of several sociodemographic factors and personality traits. An online survey with 638 participants was conducted, and hierarchical regression analyses were employed. Results revealed that a higher level of affect-based initial trust was associated with greater uncertainty avoidance, indulgence, and collectivism. In contrast, cognition-based initial trust was positively associated only with uncertainty avoidance and indulgence. Power distance, motivation toward achievement and success, and long-term orientation showed no significant associations with either affect-based or cognition-based initial trust. These findings extend the existing literature by providing new insights into the relationships between ICV and trust in ADS. Trust management strategies in both policy and practice may benefit from being tailored to individuals with varying levels of uncertainty avoidance, indulgence, and collectivism.

Authors

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2026-05-01
DOI
https://doi.org/10.1016/j.trip.2026.102024
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the relationships between individual cultural values and initial trust in automated driving systems: a separate examination of cognition-based and affect-based trust

Makoto Itoh, Zixin Cui
Transportation Research Interdisciplinary Perspectives
Human-Automation Interaction and Safety
article

Exploring the relationships between individual cultural values and initial trust in automated driving systems: a separate examination of cognition-based and affect-based trust

Makoto Itoh, Zixin Cui
article en

Abstract

Initial trust prior to actual interaction influences the acceptance and subsequent use of automated driving systems (ADSs) and is potentially associated with individuals’ individual cultural values (ICVs). Extending prior work that examined the separate associations between selected ICVs drawn from Hofstede’s cultural framework and initial trust in automation, this study aims to construct a unified analytical model to examine the joint effects of all Hofstede’s cultural dimensions on initial trust in ADS, while controlling for the potential confounding effects of several sociodemographic factors and personality traits. An online survey with 638 participants was conducted, and hierarchical regression analyses were employed. Results revealed that a higher level of affect-based initial trust was associated with greater uncertainty avoidance, indulgence, and collectivism. In contrast, cognition-based initial trust was positively associated only with uncertainty avoidance and indulgence. Power distance, motivation toward achievement and success, and long-term orientation showed no significant associations with either affect-based or cognition-based initial trust. These findings extend the existing literature by providing new insights into the relationships between ICV and trust in ADS. Trust management strategies in both policy and practice may benefit from being tailored to individuals with varying levels of uncertainty avoidance, indulgence, and collectivism.

Transportation Research Interdisciplinary PerspectivesVol. 37
Japan Society for the Promotion of Science, Japan Science and Technology Agency
Reduced inequalities
Openalex Percentile: Top 5%
Human-Automation Interaction and Safety
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