Quantitative characterisation for non-driving-related activities in automated vehicles

Abstract

The technological progress to automated driving not only influences the motion of the vehicle itself but also enables passengers to productively shape their driving time in a new way as they are not occupied with driving tasks anymore. Therefore, non-driving-related activities such as sleeping, working on a notebook or watching movies, become relevant user scenarios for functionally designing the automotive interior. For this purpose, a non-driving-related activity can be described by functions, which support the users in performing their intentional tasks, and functions carriers, which fulfil one or several functions. Basing on previous research findings, a quantitative survey is conducted in order to identify relevant and prioritised functions and function carriers. Five non-driving-related activities are taken into account: 'Making a call', 'sleeping', 'watching a movie', 'talking to passengers' and 'working on a notebook'. Results show a significant difference between general relevancy and specific prioritisation of functions and function carriers. In this contribution, the setup of the study is described, the outcome exemplified and further research steps are deduced.