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Authors: Takako Nakatani 1 and Keita Sato 2

Affiliations: 1 University of Tsukuba, Japan ; 2 DENSO Corporation, Japan

ISBN: 978-989-8565-68-6

Keyword(s): Requirements Engineering, Customer Journey Map, Scenario Analysis, Cruise Control System, Advanced Driver Assistance System.

Related Ontology Subjects/Areas/Topics: Requirements Elicitation and Specification ; Service-Oriented Software Engineering and Management ; Software Engineering ; Software Engineering Methods and Techniques ; Software Quality Management

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 requir ements 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. (More)

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Paper citation in several formats:
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

@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},
}

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

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