Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars

Kaur, Kanwaldeep; Rampersad, Giselle

doi:10.1016/j.jengtecman.2018.04.006

Cited by 415 publications

(207 citation statements)

References 27 publications

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“…Borhan et al [27] have shown that trust has a direct positive impact on attitude, subjective norms, and perceived behavioural control, and an indirect positive influence on behaviour intention. These findings are congruent with those made in the most recent research done by Kaur and Rampersad [37].…”

Section: Trustsupporting

confidence: 93%

“…In particular, trust and satisfaction are influenced by several behavioural attitudes, such as transportation facilities and security [36]. Earlier investigations have shown that trust has a considerable influence on the behaviour intention to take any kind of transportation, such as driverless cars [37], trains [38], high speed rail [30], and low-cost airlines [27]. Hsiao and Yang [30] noted that, in Taiwan, trust via attitude, subjective norms, and perceived behavioural control has a positive and indirect influence on the intention of college students to take High Speed Rail (HSR).…”

Section: Trustmentioning

confidence: 99%

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Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

2020

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This research aimed to use the extended theory of planned behaviour (TPB) to determine whether it can explain users' intention to use the bus-based park-and-ride (P&R) facilities in Putrajaya, Malaysia. This research introduced a new predictor related to the use of P&R facilities, namely trust. The survey involved 437 respondents. A structural equation model is used to show that trust positively influence the attitude and perceived behavioural control (PBC) towards the use of P&R facilities. However, the intention to use P&R facilities is not profoundly influenced by trust and subjective norm. Results also revealed that attitude, subjective norm, and PBC have a strong positive influence on the intention to use P&R facilities. In addition, several policy recommendations are discussed in this study. All things considered, the theory of planned behaviour was able to predict users' intention to use P&R facilities in Malaysia. It is hoped that this research would increase researchers' interest in conducting further investigation in this field and that the model is beneficial to service providers in helping them identify the factors that increase the number of P&R users.

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Section: Trustsupporting

confidence: 93%

Section: Trustmentioning

confidence: 99%

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

2020

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“…One widely used definition of trust in the context of automation is provided by Lee and See (2004, p. 51), which states "Trust can be defined as the attitude that an agent will help achieve an individual's goals in a situation characterized by uncertainty and vulnerability." Research has shown that individuals are hesitant to cede complete control of driving to AVs, explaining why trust is one of the key challenges to widespread adoption of AVs (Haspiel et al, 2018;Du et al, 2018;Fraedrich et al, 2016;Ghazizadeh et al, 2012;Kaur & Rampersad, 2018;Petersen et al, 2018Petersen et al, , 2019Zhang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload

Haspiel

Zhang

et al. 2019

Transportation Research Part C: Emerging Technologies

115

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Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In this study, we conducted a within-subject experiment in a driving simulator with 32 participants, using four different conditions. The four conditions included: (1) no explanation, (2) explanation given before or (3) after the AV acted and (4) the option for the driver to approve or disapprove the AV's action after hearing the explanation. We examined four AV outcomes: trust, preference for AV, anxiety and mental workload. Results suggest that explanations provided before an AV acted were associated with higher trust in and preference for the AV, but there was no difference in anxiety and workload. These results have important implications for the adoption of AVs.

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“…This creates a normalized view of the problem they are intended to solve. Interestingly enough for humans, the level of details that algorithms might be able to discriminate can be high, as for instance, in automated image pattern recognition [16] or autonomous driving [17]. This first form of digital normativity may thus often be satisfying enough for humans for them to rely on algorithmic recommendations.…”

Section: The Advent Of Digital Normativity In Multiple Formsmentioning

confidence: 99%

Digital Normativity: A Challenge for Human Subjectivation

Fourneret

Yvert

2020

Front. Artif. Intell.

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Over the past decade, artificial intelligence has demonstrated its efficiency in many different applications and a huge number of algorithms have become central and ubiquitous in our life. Their growing interest is essentially based on their capability to synthesize and process large amounts of data, and to help humans making decisions in a world of increasing complexity. Yet, the effectiveness of algorithms in bringing more and more relevant recommendations to humans may start to compete with human-alone decisions based on values other than pure efficacy. Here, we examine this tension in light of the emergence of several forms of digital normativity, and analyze how this normative role of AI may influence the ability of humans to remain subject of their life. The advent of AI technology imposes a need to achieve a balance between concrete material progress and progress of the mind to avoid any form of servitude. It has become essential that an ethical reflection accompany the current developments of intelligent algorithms beyond the sole question of their social acceptability. Such reflection should be anchored where AI technologies are being developed as well as in educational programs where their implications can be explained.

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Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars

Cited by 415 publications

References 27 publications

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload

Digital Normativity: A Challenge for Human Subjectivation

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