Range plays a crucial role in the adoption and acceptance of electric mobility. Contrary to private car use, battery-electric buses (BEBs) in short-distance public transport ideally tend to exploit their available range on a daily basis to achieve optimal resource efficiency. Designing interfaces that provide accurate mental models of range dynamics can be expected to play a key part in avoiding daily range stress (or even range anxiety). The objective of the present research was (1) to structure potentially key range-related user questions in such a challenging usage context, namely BEBs used in public transport, and (2) to develop first interface concepts targeted towards addressing such user questions. An expert survey was conducted (N = 9) to gather a first set of 68 potential user questions, which than were structured and categorized into four clusters representing different information needs. Subsequently, multiple range-related interfaces were elaborated in an iterative design process. The design rationale was to optimize the interfaces based on responses to the aggregated user questions, thereby making the acquisition of information as easy as possible. These concepts can work as guidelines for the development of interfaces supporting BEB drivers’ mental models regarding range.

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Range InSight - Visualizing Range-Related Information in Battery Electric Buses

Published in: HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design. HCII 2020. Lecture Notes in Computer Science (2020)

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