Motivated to Use: Beliefs and Motivation Influencing the Acceptance and Use of Assistance and Navigation Systems

Stiegemeier, Dina; Kraus, Johannes; Bringeland, Sabrina; Baumann, Martin

doi:10.1080/10447318.2022.2088658

Cited by 10 publications

(2 citation statements)

References 66 publications

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“…In Ja ´szbere ´nyi et al 's study [18] on the intention to adopt autonomous vehicles for tourism purposes, it was shown that perceived ease of use has a significant impact on the intention to use. In addition, the positive impact of perceived ease of use on user intentions has also been confirmed in research on mobile payment technology [82], vehicle assistance and entertainment system [78] and e-learning technology [83]. However, some previous studies [20,84] showed that perceived ease of use has no effect on intention to use.…”

Section: Technology Acceptance Modelmentioning

confidence: 78%

“…The research of Ja ´szbere ´nyi et al [18] also shows that the perceived usefulness variable has a positive impact on the user's intention to use self-driving cars for travel. Based on TAM and other theories, Stiegemeier et al [78] conducted a study on the acceptance of in-vehicle assistance and infotainment systems for German drivers, showing that perceived usefulness affects users' use intentions. At the same time, the positive impact of perceived usefulness on users' usage intentions has also been confirmed in the studies of Li et al [79] and Yan et al [80].…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

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Psychological factors affecting potential users’ intention to use autonomous vehicles

Huang

2023

PLoS ONE

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As a currently emerging technology and an emerging intelligent mode of transport, autonomous vehicles (AVs) with lots of potential advantages need attention in terms of acceptability of their users. This research incorporates three psychological factors of perceived trust, perceived value, and perceived enjoyment into the technology acceptance model, and explores the influence of these factors on the potential use intention of AVs users. In this study, the questionnaire data from 232 participants were analysed, and the structural equation model test study model was adopted, and nine hypotheses proposed in this study were verified. The results show that perceived enjoyment, perceived trust, perceived usefulness, and attitude have a direct positive impact on users’ usage intentions. Perceived value, perceived usefulness, and perceived ease of use have a direct positive impact on user attitudes. In addition, perceived ease of use has also been shown to directly affect perceived usefulness. This study constructs and demonstrates a model of autonomous vehicle acceptance. This model can be used for user acceptance research of unmanned vehicles. The research expands the theory of technology acceptance model and its applicable fields, and enriches the theory of user research on unmanned vehicles. This study provides predictors of AVs acceptance for AVs designers, automakers, automotive policy makers, and related practitioners. Help them make actionable autonomous vehicle-related decisions to promote high-acceptance autonomous vehicle design and user intent for autonomous vehicles.

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Section: Technology Acceptance Modelmentioning

confidence: 78%

Section: Technology Acceptance Modelmentioning

confidence: 99%

Psychological factors affecting potential users’ intention to use autonomous vehicles

Huang

2023

PLoS ONE

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What is good? Exploring the applicability of a one item measure as a proxy for measuring acceptance in driver-vehicle interaction studies

Buchner,

Kraus,

Miller

et al. 2024

J Multimodal User Interfaces

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New driver assistance systems play an important role to rise safety and comfort in todays´ traffic. Those systems should be developed with the needs of the user in mind and tested for the users´ requirements. In this, user acceptance is a central variable of interest – both in scientific and in practical applications of user-centered research on driver assistance systems. In some cases, applied research settings need simplified measurements in order to be efficiently applicable in the driving situations. In the present paper, we explored the applicability and validity of a single-item acceptance measurement (SIAM) for practical study settings covering the attitude towards using new driver assistance systems. To provide a theoretical framing, we tested the one-item measure against the widely used Technology Acceptance Model (TAM) and the van der Laan acceptance scale (VDL) in a driving simulator study. Participants experienced four different complex driving scenarios using a driver assistance system. Acceptance was measured repeatedly throughout the drive. The results supported construct validity for the SIAM, correlating with the VDL. The SIAM further predicted the intention to use the system. Being carefully aware of the psychometric drawbacks of short scales and acknowledging the importance of multi-item scales, the SIAM is promising for efficiently approaching the acceptance of driver assistance systems in applied settings.

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The factors impacting the use of navigation systems: A study based on the technology acceptance model

Gao¹,

Qi²,

Qu³

2023

Transportation Research Part F: Traffic Psychology and Behaviou

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Motivated to Use: Beliefs and Motivation Influencing the Acceptance and Use of Assistance and Navigation Systems

Cited by 10 publications

References 66 publications

Psychological factors affecting potential users’ intention to use autonomous vehicles

Psychological factors affecting potential users’ intention to use autonomous vehicles

What is good? Exploring the applicability of a one item measure as a proxy for measuring acceptance in driver-vehicle interaction studies

The factors impacting the use of navigation systems: A study based on the technology acceptance model

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