Facilitating participatory design for automotive interfaces by modeling user experience in real time.

Abstract

With the ongoing integration of advanced driver assistance systems in vehicles, the requirements on efficient dashboard designs are changing rapidly. As such, participatory design strategies promise to be an important tool to rapidly generate and test prototypes by directly integrating end-users in the design process. An open problem of this approach is that the process of designing complex systems' interfaces may require many iterations thereby running the risk of being too time consuming and cognitively demanding for end-users. One potential solution for this is to facilitate iterative design testing by providing smart recommendations on design improvements throughout an interaction. Therefore, this PhD project aims to develop and evaluate an automatic user experience modeling paradigm for participatory interface design which aims to support end-users by providing suggestions for design improvements based on past interactions and support design researchers by generating insights from users' cognitive state and the users' design preferences.