MuLSA: Multi-Layered Scenario Analysis for an Advanced Driver Assistance System

Takako Nakatani, Keita Sato

Abstract

Safe driving is mandatory for an advanced driver assistance system (ADAS). We consider that the adequacy and safety of the driver assistance services can be monitored by observing drivers’ positive and negative emotions, since, if they find a hazardous situation, he/she has a negative emotion, ”surprised” or ”dangerous.” If they feel to be assisted by the system, they will have a positive emotion. In order to analyze requirements for the ADAS, we propose a multi-layered scenario analysis (MuLSA). MuLSA is developed by integrating a customer journey map and a service blueprint with the context of a scenario. A customer journey map consists of a scenario; as the customer’s experiences, as well as a customer’s emotions toward the services. The service blueprint represents a customer’s journey, as well as a mechanism of the services. Thus, MuLSA consists of a driver’s journey, his/her emotions, the mechanism of services, as well as the context of the service. In order to prioritize requirements for the safety of a future ADAS, we have observed driver emotions with regard to hazardous scenarios with MuLSA. This paper shows the results of the observation, and we discuss the effectiveness of MuLSA.

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Paper Citation


in Harvard Style

Nakatani T. and Sato K. (2013). MuLSA: Multi-Layered Scenario Analysis for an Advanced Driver Assistance System . In Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013) ISBN 978-989-8565-68-6, pages 83-91. DOI: 10.5220/0004449500830091


in Bibtex Style

@conference{icsoft-ea13,
author={Takako Nakatani and Keita Sato},
title={MuLSA: Multi-Layered Scenario Analysis for an Advanced Driver Assistance System},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)},
year={2013},
pages={83-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004449500830091},
isbn={978-989-8565-68-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)
TI - MuLSA: Multi-Layered Scenario Analysis for an Advanced Driver Assistance System
SN - 978-989-8565-68-6
AU - Nakatani T.
AU - Sato K.
PY - 2013
SP - 83
EP - 91
DO - 10.5220/0004449500830091