Human-vehicle interaction with a metaphor based collision avoidance interaction pattern

Abstract

Abstract Following the successful digitalisation of tasks within the aviation domain, this development has now also reached road-based vehicles and is quickly progressing in the form of computer-based, assisted and automated driving. As these systems are becoming increasingly more complex and intelligent, design and interaction patterns can be an effective tool to translate complex systems into schemes that are intuitive to use and thus play a crucial part in the systematic resolution of conflicts between computers and humans. One example of such a conflict are collision avoidance systems due to it overruling the input of the driver in an emergency. As a potential solution, an interaction pattern approach is presented for a non-line-of sight collision avoidance and subsequently evaluated in a driving simulator setting. Here a state of the art emergency brake was compared with an escalating interaction pattern, implemented with different degrees of multi-modality. The authors propose the use of Image Schemas, applying their underlying metaphorical extensions to support an intuitive interaction. An evaluation with Bayesian regression models suggests that a visual and multimodal implementation improves user experience and safety.