Abstract
The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing the constructs that will influence future AVs acceptance. Most models of technology acceptance focus on barriers of successful information technology implementation in organisations and technologies that have already been deployed. There is only a small number of studies conducted on emerging and disruptive technologies such as AV. We address this issue by deriving context-related determinants from an extensive literature analysis and further describing a technology acceptance modeling process to provide an explanation for drivers’ and factors influencing people behavioural intention to accept AV technology. Based on our evaluation we take the determinants self-efficacy, perceived safety, trust, anxiety and legal regulation into consideration. The outcome and main contribution of this paper is the proposal of a theoretical AV technology acceptance model (AVTAM). This study concluded that the performance of these AV technologies, their safety on the road and consumer’s trust for the AV manufacturers will play a very important role for mass AV adoption.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Becker, F., Axhausen, K.W.: Literature review on surveys investigating the acceptance of autonomous vehicles (2017)
Morgan Stanley: Autonomous Cars: Self-Driving the New Auto Industry Paradigm, s.l.: Morgan Stanley Blue Paper (2013)
RTRAC: Automated Driving Roadmap: Status 3rd Draft for public consultation (2015)
Fraedrich, E., Lenz, B.: Societal and individual acceptance of autonomous driving. J. Auton. Driving, 621–640 (2016)
2025ad.com: 2025AD|2025AD - The Automated Driving Community. https://www.2025ad.com/categories/latest/technology/. Accessed 24 Oct 2019
Rödel, C., Stadler, S., Meschtscherjakov, A., Tscheligi, M.: Towards autonomous cars: the effect of autonomy levels on acceptance and user experience. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 1–8. ACM (2014)
Cho, Y., Park, J., Park, S., Jung, E.S.: Technology acceptance modeling based on user experience for autonomous vehicles. J. Ergon. Soc. Korea 36(2) (2017)
Niculescu, A.I., Dix, A., Yeo, K.H.: Are you ready for a drive?: User perspectives on autonomous vehicles. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2810–2817. ACM (2017)
Yi, M.Y., Jackson, J.D., Park, J.S., Probst, J.C.: Understanding information technology acceptance by individual professionals: Toward an integrative view. Inf. Manag. 43, 350–363 (2006)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Seuwou, P., Chrysoulas, C., Banissi, E., Ubakanma, G. (2020). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-45688-7_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-45687-0
Online ISBN: 978-3-030-45688-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)