Perception and Acceptance of Autonomous Vehicles: Influencing Factors and the Relevance of Subjective Knowledge

Staab, Verena; Liebherr, Magnus

doi:10.1080/10447318.2023.2295687

International Journal of Human–Computer Interaction

2024

DOI: 10.1080/10447318.2023.2295687

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Perception and Acceptance of Autonomous Vehicles: Influencing Factors and the Relevance of Subjective Knowledge

Verena Staab,

Magnus Liebherr

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Cited by 3 publications

References 85 publications

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Consumers’ adoption of autonomous cars as a personal values-directed behavior

Crisafulli,

Guesalaga,

Dimitriu

2025

Journal of Business Research

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Consumers’ adoption of autonomous cars as a personal values-directed behavior

Crisafulli,

Guesalaga,

Dimitriu

2025

Journal of Business Research

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An investigation of perceived risk dimensions in acceptability of shared autonomous vehicles, a mediation-moderation analysis

Abbasi,

Mamdoohi,

Ciari

et al. 2024

Sci Rep

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The integration of shared and autonomous mobility has led to the emergence of shared autonomous vehicles with ride-sharing services (SAVWRS), which have the potential to significantly reduce private car usage and promote sustainable transportation. Despite numerous studies on this topic, there is still no research examining the impact of all dimensions of perceived risk theory on usage intention. Therefore, we aim to investigate these relationships and gain deeper insights by examining the mediating effect of trust and the moderating effect of generation (Millennials vs. Baby Boomers) to address potential disparities across generations. To gather insights, we design an online survey that was completed by a random sample of 723 individuals in 2021. The estimation results of the structural equation model reveal that all perceived risk dimensions (social, performance, time, physical, security, and financial risks, in descending order) are negatively related to consumers’ intention. Additionally, trust fully mediates the relationships between performance, physical, financial, and security risks and usage intention, whereas it partially mediates the relationships between social and time risks and the intention to use. Furthermore, moderation analysis revealed that Millennials are less concerned about most dimensions of perceived risk theory, except for social and time risks. In conclusion, our study contributes to a deeper understanding of the complex relationships between perceived risk dimensions, trust, and usage intention in SAVWRS. Our findings suggest that policymakers and industry stakeholders should consider strategies to address these concerns to promote widespread acceptance of SAVWRS.

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AI is not careful: approach to the stock market and preference for AI advisor

Koo

2024

IJBM

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PurposeFinancial institutions actively seek to leverage the capabilities of artificial intelligence (AI) across diverse operations in the field. Especially, the adoption of AI advisors has a significant impact on trading and investing in the stock market. The purpose of this paper is to test whether AI advisors are less preferred compared to human advisors for investing and whether this algorithm aversion diminishes for trading.Design/methodology/approachThe four hypotheses regarding the direct and indirect relationships between variables are tested in five experiments that collect data from Prolific.FindingsThe results of the five experiments reveal that, for investing, consumers are less likely to use AI advisors in comparison to human advisors. However, this reluctance to AI advisors decreases for trading. The author identifies the perceived importance of careful decision-making for investing and trading as the psychological mechanism. Specifically, the greater emphasis on careful decision-making in investing, as compared to trading, leads to consumers’ tendency to avoid AI advisors.Originality/valueThis research is the first to investigate whether algorithm aversion varies based on whether one’s approach to the stock market is investing or trading. Furthermore, it contributes to the literature on carefulness by exploring the interaction between a stock market approach and the lay belief that algorithms lack the capability to deliberate carefully.

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Perception and Acceptance of Autonomous Vehicles: Influencing Factors and the Relevance of Subjective Knowledge

Cited by 3 publications

References 85 publications

Consumers’ adoption of autonomous cars as a personal values-directed behavior

Consumers’ adoption of autonomous cars as a personal values-directed behavior

An investigation of perceived risk dimensions in acceptability of shared autonomous vehicles, a mediation-moderation analysis

AI is not careful: approach to the stock market and preference for AI advisor

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