Research on cycling safety has recently gained the attention of the HCI community. While there have been multiple proposals for automated driving features on bikes, we are unaware of a project that systematically aims to translate and evaluate driver assistance systems from the automotive to the bike domain to promote cycling safety in traffic. Thus, we implemented an adaptive cruise control and a lane-keeping/centering system with hard- and software on a motion-based bicycle simulator and investigated their potential in a virtual reality experiment. Based on performance measurements and subjective ratings, results showed significant improvements in technology acceptance, subjective workload, and driving performance regarding the cruise control. In contrast, the lane-centering and lane-keeping features were rated significantly worse than the baseline without such assistance. The paper concludes with a critical reflection on automated driving features for bicycles.@en

Automated shuttles are already seeing deployment in many places across the world and have the potential to transform public mobility to be safer and more accessible. During the current transition phase from fully manual vehicles toward higher degrees of automation and resulting mixed traffic, there is a heightened need for additional communication or external indicators to comprehend automated vehicle actions for other road users. In this work, we present and discuss the results from seven studies (three preparatory and four main studies) conducted in three European countries aimed at investigating and providing a variety of such external communication solutions to facilitate the exchange of information between automated shuttles and other motorized and non-motorized road users.@en

In automated vehicles, the driver and the vehicle make a decision on the driving. However, there is no guarantee that drivers always agree or follow the system's decision. Drivers can reject the system's proposal or regain control, and it reduces the usefulness of automated vehicles. When a decision conflict happens, the vehicle can negotiate with the driver. Human-human communication depends on the individual's attitude and situation. Similarly, the negotiation style needs to differ depending on the context of conflict and the cause of disagreement. In this workshop, we address the negotiation approach to designing HMI and discuss considerations for applying the human-human negotiation style to human-automated vehicle interaction design. HMI design using a negotiation approach can address the decision conflict between humans and automation and expect enhancing trust and acceptance.

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