User-eXperience Values of Automatic Driving to Consider from Dual Tasks

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Abstract

Aiming at an automated driving society in the near future, not only automobile manufacturers, but also many companies, research institutes, and administrations are active engaged in various initiatives. In order to realize automatic driving, problems such as technical problems and social acceptance system still have many problems. Meanwhile, there is great expectation for its attractive concept proposal. In society today, a lot of tragic traffic accidents are reported. The public’s interest is high in anticipation of a decrease in the number of traffic accidents caused by automatic driving. Automatic driving as a means of creating a safe automobile society is highly attractive. In this research, we focus on new experiential value by realizing automatic driving. In past driving of the car, it has been regarded as a dangerous act that the driver performs other work at the same time as driving. In this thesis, we consider the experiences by doing driving work and other work using the dual task method.

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APA

Terazawa, N., Ainoya, T., & Kasamatsu, K. (2019). User-eXperience Values of Automatic Driving to Consider from Dual Tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11569 LNCS, pp. 362–370). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_26

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