Technology readiness and intentions to use conditionally automated vehicles

O’Hern, Steve; Louis, Renée St.

doi:10.1016/j.trf.2023.02.001

Cited by 13 publications

(8 citation statements)

References 28 publications

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“…Openness and extraversion increase people's intention to use AVs by influencing perceived ease of use and perceived usefulness. People with open and extroverted personalities are curious about the emergence of new technologies and are more likely to feel the availability and ease of use of new technologies [62,63].…”

Section: Discussionmentioning

confidence: 99%

Key factors capturing the willingness to use automated vehicles for travel in China

Zhou,

Guo,

Shi

et al. 2024

PLoS ONE

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With the continuous advancement of technology, automated vehicle technology is progressively maturing. It is crucial to comprehend the factors influencing individuals’ intention to utilize automated vehicles. This study examined user willingness to adopt automated vehicles. By incorporating age and educational background as random parameters, an ordered Probit model with random parameters was constructed to analyze the influential factors affecting respondents’ adoption of automated vehicles. We devised and conducted an online questionnaire survey, yielding 2105 valid questionnaires. The findings reveal significant positive correlations between positive social trust, perceived ease of use, perceived usefulness, low levels of perceived risk, and the acceptance of automated vehicles. Additionally, our study identifies extraversion and openness as strong mediators in shaping individuals’ intentions to use automated vehicles. Furthermore, prior experience with assisted driving negatively impacts people’s inclination toward embracing automated vehicles. Our research also provides insights for promoting the adoption of automated vehicles: favorable media coverage and a reasonable division of responsibilities can enhance individuals’ intentions to adopt this technology.

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Section: Discussionmentioning

confidence: 99%

Key factors capturing the willingness to use automated vehicles for travel in China

Zhou,

Guo,

Shi

et al. 2024

PLoS ONE

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“…For instance, individuals who assign greater blame to the ADS following critical events tend to trust the ADS-equipped vehicles less [38]. Although little research has examined attributed praise towards ADS-equipped vehicles, research suggests that those who hold optimistic and more favorable perceptions towards the technology tend to have stronger intentions to use and adopt ADS-equipped vehicles [39,40]. Having positive perceptions of ADS technology can benefit the intention to use and adoption of ADS-equipped vehicles especially in emerging countries where intelligent transportation systems are less available [41].…”

Section: Introductionmentioning

confidence: 99%

“…Having positive perceptions of ADS technology can benefit the intention to use and adoption of ADS-equipped vehicles especially in emerging countries where intelligent transportation systems are less available [41]. Similarly, familiarity and exposure to ADS-equipped vehicles tend to positively correlate with technological optimism and intention to use [39]. Additionally, perceiving the ADS as having greater agency tends to reduce attributed blame, fosters greater trust, and predicts individuals' willingness to ride or purchase ADS-equipped vehicles [37,42].…”

Section: Introductionmentioning

confidence: 99%

Impact of Monitoring Requests on Publics’ Assignment of Blame and Praise towards ADS Level 3 Vehicles

Kettle,

McCarty,

Simpson

et al. 2023

Human Behavior and Emerging Technologies

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As vehicle automation capabilities increase, driving control shifts from the human to the vehicle system. However, concerns arise regarding responsibility following critical events and the publics’ trust and acceptance of vehicles equipped with automated driving systems (ADS). The current study examined how participants assigned blame and praise to ADS-equipped vehicles and human drivers following collisions or near-misses and how these attributions were impacted by a virtual driving assistant that administered monitoring requests. Based on literature, our primary hypothesis was that more blame would be assigned to the human and more praise assigned to the ADS when the driving assistant was present. Additionally, we hypothesized greater reported trust towards ADS-equipped vehicles when the driving assistant was present. Participants read vignettes of automated driving, watched corresponding videos, and then self-reported trust, acceptance, anthropomorphism, and assignment of blame and praise. All hypotheses were supported indicating that significant effects were observed: participants assigned greater blame to the human when asked to actively monitor the driving environment and assigned greater praise to the ADS when it alerted the human driver. Additionally, participants reported greater trust and anthropomorphism of the ADS when the driving assistant was present. These findings suggest that explicitly communicating monitoring responsibility through a driving assistant significantly impacts the publics’ opinion of responsibility following critical events. These findings provide initial support for a solution to improve driver safety as well as policy implications regarding positive perceptions and the adoption of ADS-equipped vehicles.

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“…The findings indicate that even with relatively low market penetration rates, CAVs deliver substantial advantages to road safety, leading to a significant reduction in traffic conflicts [13]. Conditionally automated vehicles are anticipated to offer benefits such as reduced road accidents, decreased traffic congestion, and new mobility options [14]. However, whether the environmental impact of such technology is positive, or negative is unsettled, and further effort is still required to provide greater insight.…”

Section: Introductionmentioning

confidence: 99%

“…This expectation to travel more by AV is mainly due to the desire to engage in leisure activities while driving autonomously, the perceived value of the system, and the capability of AVs to fulfill unaddressed travel needs by simplifying the travel experience. The work of O'Hern and Louis [14] explored the perception of readiness of the conditionally automated vehicles technology in additional to intentions to use, through the use of the Technology Readiness Index. The study surveyed 384 Finnish participants and revealed that optimism about technology was positively correlated with the intention to use conditionally automated vehicles, meaning that more optimistic individuals were more inclined to use them.…”

Section: Introductionmentioning

confidence: 99%

Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States

Saravanos

Verni

Moore

et al. 2022

Lecture Notes in Computer Science

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This paper investigates the end-user acceptance of last-mile delivery carried out by autonomous vehicles within the United States. A total of 296 participants were presented with information on this technology and then asked to complete a questionnaire on their perceptions to gauge their behavioral intention concerning acceptance. Structural equation modeling of the partial least squares flavor (PLS-SEM) was employed to analyze the collected data. The results indicated that the perceived usefulness of the technology played the greatest role in end-user acceptance decisions, followed by the influence of others, and then the enjoyment received by interacting with the technology. Furthermore, the perception of risk associated with using autonomous delivery vehicles for last-mile delivery led to a decrease in acceptance. However, most participants did not perceive the use of this technology to be risky. The paper concludes by summarizing the implications our findings have on the respective stakeholders, and proposing the next steps in this area of research.

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Technology readiness and intentions to use conditionally automated vehicles

Cited by 13 publications

References 28 publications

Key factors capturing the willingness to use automated vehicles for travel in China

Key factors capturing the willingness to use automated vehicles for travel in China

Impact of Monitoring Requests on Publics’ Assignment of Blame and Praise towards ADS Level 3 Vehicles

Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States

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