Abstract
Major improvements in autonomous driving allow the realization of automated valet parking. However, parking is known to be a challenging and complex task with high cognitive demand, and many challenges remain within the area of human factors, for example, whether the user trust automated driving vehicle systems and whether the system is understandable and safe. Therefore, we present a need-centered approach and the involved “UX framework”, which can optimize user experience in the automated valet parking system. We create Persona models through surveys and interviews to explore pain points and users’ needs, and use Kano model to categorize and prioritize these needs from three levels: security, understandability, and controllability, then reflect them in each function of the system to build the information architecture. Meanwhile, we also consider the corresponding services about One-dimensional and Attractive quality. Furthermore, we put forward the “UX framework” and 5 principles for the interaction design of the automated valet parking system, which will provide references for designers and practitioners.
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Ma, J., Feng, X., Gong, Z., Zhang, Q. (2020). From the Parking Lot to Your Gate: A Need-Centered Approach for Optimizing User Experience in Automated Valet Parking System. In: Stephanidis, C., Duffy, V.G., Streitz, N., Konomi, S., Krömker, H. (eds) HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12429. Springer, Cham. https://doi.org/10.1007/978-3-030-59987-4_11
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DOI: https://doi.org/10.1007/978-3-030-59987-4_11
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