A classification framework based on driver's operations of in-car interaction

Abstract

Advances in driverless technology have reduced driver's attention in driving, making them willing to focus on activities that are less relevant to driving, which has left a new field of research and practice for the in-car human-computer interaction. However, due to the complexity of the driving scenario and the uncertainty of the driver's activity, how to design appropriate ways of interaction that meets driver's emotional appeals from the perspective of driver activity is considerably important. This paper firstly built the driving scenario model based on the user activity theory. Secondly, for the purpose of detailing the interaction process, a framework based on the classification of operation was proposed. Finally, based on pervious work, a design evaluation method combined user's emotional appeals with interaction attributes under user activity is proposed to better support the choice of interactive solution.