A scenario analysis method with user emotion and its context

Safe driving is mandatory for an Advanced Driver Assistance System (ADAS). The adequacy and safety of an ADAS has to be evaluated not only by developers, but also by drivers. Evaluations by drivers can be monitored by their positive and negative emotions, since for example, if they find a hazardous situation, they have a negative emotion, “surprised” or “close call.” An ADAS is considered “good”, if it does not cause driver emotions such as these, and hence, is viewed as adequate and safety. In order to analyze the safety requirements of drivers for the ADAS, we propose a multi-layered scenario analysis (MuLSA). MuLSA is a kind of scenario analysis method consisting of a driver’s journey, his/her emotions, the mechanism of services, as well as the context of the services. This paper shows the results of the observation of emotions through a simulation, and we discuss the effectiveness of analyzing the requirements of services with regard to the user’s emotion.