Abstract
The introduction of SAE Level 3 and 4 will in the near future allow users to legally engage in a variety of non-driving related activities (NDRAs) during automated driving. However, automated driving functions will at first be available only on certain (predictable) segments of a drive, leading to fragmented journeys. To improve users’ control over the route planning process and consequently best refine the acceptance and exploit the potential of NDRAs, the goal of this work was to develop a route planning software with focus on automation availability. Following a user-centered design process, different prototypes were iteratively designed and evaluated in small scale user studies. The final concept was implemented as an Android app; it featured individual travel profiles and the possibility of entering automated driving segments for certain time slots or durations. In a final study with 23 participants, usability, acceptance, and the fulfilment of user needs were evaluated. Participants executed six different tasks assumed to be representative for future use cases. Results show that the tasks were very well handled. User requirements were fulfilled to a high degree and usability ratings show a high mean SUS score of 81. Furthermore, a high intention to use became apparent.
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Hecht, T., Weng, S., Drexl, A., Bengler, K. (2022). User-Centered Development of a Route Planning App for Fragmented Automated Drives. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_9
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