Psychosocial factors associated with intended use of automated vehicles: A simulated driving study

Buckley, Lisa; Kaye, Sherrie-Anne; Pradhan, Anuj K.

doi:10.1016/j.aap.2018.03.021

Cited by 254 publications

(141 citation statements)

References 31 publications

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“…In the electronic payment system, varieties of theories have been adopted to explain innovation usage. This paper will adopt the theory of planned behavior propounded by Buckley, it was developed to better understand relationships that exist between attitude, intention and behavior of users (Buckley et al, 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Electronic card user awareness of ease of use behavior could be influenced by the access speed, convenience, portability and user friendliness (Ooi & Tan, 2016). Hence the most significant factors in the ease of use in human perception includes effortless, easy to handle and simple (Buckley, Kaye, & Pradhan, 2018). The complexity in any innovation technology might discourage users in accepting the technology considering the age and level of education of the adopters (Liébana-Cabanillas, Muñoz-Leiva, & Sánchez-Fernández, 2018), the technology has to be user friendly and easily accessed for the adopters.…”

Section: Introductionmentioning

confidence: 99%

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Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

Alademomi¹,

Rufai²,

Teye³

et al. 2019

IJBSS

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Despite the fact that, electronic payment system has received so much attention from various researchers around the globe; in practice, there is still lack of acceptance in electronic payment system among the users in most developing economies considering its convenience and usefulness. Trust has been proposed as a crucial determinant for human decision on acceptance, yet just a couple of studies have investigated its role on electronic payment system. The major focus of this research was to test the role of trust as a mediator factor in determining acceptance of electronic payment in BRT system. Drawing on technology acceptance model (TAM) and the theory of planned behavior propounded by (Buckley et al. 2018), we empirically test the effectiveness of trust as a mediator using 356 survey data and verify the validity and reliability to provide evidence on the proposed hypothesis in this study through structural equation modeling (LISREL). The result indicated strong support for the effects of perceived security and perceived ease of use while perceived usefulness did not find support on the outcome. Most importantly, trust was found to significantly influenced acceptance of electronic payment system. The research findings suggest a positive means to encourage acceptance of electronic payment system for BRT users.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

Alademomi¹,

Rufai²,

Teye³

et al. 2019

IJBSS

View full text Add to dashboard Cite

show abstract

“…The evaluation of technology acceptance for automated driving is essentially based on the Technology Acceptance Model (TAM) and the Consumer Acceptance of Technology (CAT) model as its further development (e.g. Buckley et al 2018;Köpsel et al 2018). The TAM identifies two central factors that influence the "Attitude Toward Adoption", i.e.…”

Section: Theoretical Background and State Of Researchmentioning

confidence: 99%

“…PEoU is an individual assessment in terms of the effort required to use the technology (Davis et al 1989). Buckley et al conducted a study where they applied the TAM to assess driver's intended use of automated driving technology after undertaking a driving simulation task (Buckley et al 2018). The TAM variables of PU and PEoU explained 41% of the variance in intentions (Buckley et al 2018).…”

Section: Theoretical Background and State Of Researchmentioning

confidence: 99%

“…However, most studies investigating the acceptance of automated driving are based on standardized questions in the context of scenario descriptions or simulated driving with regard to an automated vehicle so that only explicit measurements are included in the model (e.g. Buckley et al 2018;Planing 2014;Nielsen/Haustein 2018;Rödel et al 2014;Waytz et al 2014;Bansal/Kockelman 2016;König/Neumayr 2017;Haboucha et al 2017). Yet, the automated driving technology is developed incrementallyseries vehicles today only reached autonomous level 2 from 5 (SAE International 2018)but the full disruptive version of a driverless car is already in the head of consumers.…”

Section: Introductionmentioning

confidence: 99%

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“What-are-you-looking-at?” – Implicit Behavioural Measurement Indicating Technology Acceptance in the Field of Automated Driving

Kuhn

Marquardt

2019

EasyChair Preprints

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Automated driving functions are gradually entering individual mobility markets. First studies on consumer acceptance show that parts of the classical innovation acceptance models can be applied to autonomous driving, but others do not work in this context. As it is expected that perception and evaluation of automated driving functions are correlated with the behaviour of the driver, we investigated if eye-tracking data as an implicit behavioural measurement could indicate the acceptance of automated driving. We developed and conducted a user experience study with a pre-and a post-questionnaire, a standardized test track, and 98 test drivers with eye-tracking glasses using level 2 driver assistant systems either with a Mercedes-Benz E-Class or S-Class. The study refers to the Consumer Acceptance of Technology model and adds eye distraction from forward road scenes as antecedent indicator while activating the automated "Lane Keeping"-function in separated one minute slots. Results of structural equation modelling show that despite a lack of significance, our general line of argument is largely confirmed according to which a longer eyes-off-road-time indicates a higher acceptance of automated driving technology. It is assumed that the effects could become more apparent when participants use the automated driving function within a longer period.

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More trust or more risk? User acceptance of artificial intelligence virtual assistant

Xiong,

Shi,

et al. 2023

Hum Ftrs & Erg Mfg Svc

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Artificial intelligence (AI) virtual assistants are rapidly growing, permeating people's daily lives and work. However, some trust and risk issues prevent the acceptance and use of AI virtual assistants by users. Thus, understanding the roles of trust and perceived risk in user acceptance of AI virtual assistants is crucial. This study develops a comprehensive research model based on unified theory of acceptance and use of technology (UTAUT) to explain user acceptance of AI virtual assistants. This model extends UTAUT by adding users' perception of trust and risk. The research model and hypotheses are validated through structural equation modeling with a sample of 926 AI virtual assistant users. Results show that gender is significantly related to behavioral intention to use, education is positively related to trust and behavioral intention to use, and usage experience is positively related to attitude toward using. UTAUT variables, including performance expectancy, effort expectancy, social influence, and facilitating conditions, are positively related to behavioral intention to use AI virtual assistant. Trust and perceived risk respectively have positive and negative effects on attitude toward using and behavioral intention to use AI virtual assistants. Trust and perceived risk play equally important roles in explaining user acceptance of AI virtual assistants. Theoretical and practical implications of the current AI virtual assistant acceptance model and directions for future research are discussed.

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Psychosocial factors associated with intended use of automated vehicles: A simulated driving study

Cited by 254 publications

References 31 publications

Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

“What-are-you-looking-at?” – Implicit Behavioural Measurement Indicating Technology Acceptance in the Field of Automated Driving

More trust or more risk? User acceptance of artificial intelligence virtual assistant

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