Abstract
Self-driving vehicles (SDVs) are part of a critical shift that articulates a technological leap forward. SDVs propose solutions to current transportation problems in order to change how people address mobility. Previous studies show that people generally have an optimistic stance towards autonomous vehicles. The user interface is essential to the way people perceive the driving experience. Innovative means for user interface development and interaction design are required as number of factors influences the adoption of technology. The present research discusses the need for multimodal in-car interaction design that could be implemented in the future for self-driving cars. Furthermore, investigating the user acceptance (UA) and user experience (UX) factors is poised to help understand the technology acceptance tendency. The results of the present project will contribute to the question: how adequate the information we are providing to the potential user is, and how it could be enhanced? To investigate SDVs is not only to provoke the general acceptance of the technology but to investigate when, how and why to trust the technology. The primary component that guarantees the success of this development is the final customer since they shape the market.
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Alqatawneh, O., Coles, A., Unver, E. (2020). Towards the Adoption of Self-Driving Cars. In: Zhang, YD., Mandal, J., So-In, C., Thakur, N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems and Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-15-0077-0_46
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DOI: https://doi.org/10.1007/978-981-15-0077-0_46
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