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Evaluating Comfort in Fully Autonomous Vehicle Using Biological Emotion Map

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Advances in Human Aspects of Transportation (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 270))

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Abstract

A development of fully autonomous-driving vehicle is approaching towards the more utilization of time in vehicle aiming at various purposes such as entertainment and relaxation. To achieve such purposes, it is necessary to provide a comfortable environment in the vehicle. Therefore, the goal of this study is to realize a new method to evaluate the comfort focusing on the interior space of the autonomous vehicle. We proposed an emotion map, to estimate and classify emotions by biological signal indexes. We performed an experiment to evaluate various scenarios with the simulated autonomous vehicle in which multimodal stimulus were presented. The experimental results indicated that the comfort increased during the autonomous driving. Therefore, we suggest that our proposed method is effective for evaluating the comfort for the interior of autonomous vehicle, and also applicable to other scenarios.

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References

  1. Ministry of Economy, Trade and Industry: Automated Driving and Mobility Service. www.meti.go.jp/english/policy/mono_info_service/automobile_industry/adms/index.html. Accessed 14 Feb 2021 (2015)

  2. Debois, S.: 9 Advantages and Disadvantages of Questionnaires. www.surveyanyplace.com/questionnaire-pros-and-cons. Accessed 20 Mar 2018.

  3. Lokman, A.M.: Design & emotion: the Kansei engineering methodology. Malays. J. Comput. 1(1), 1–14 (2010)

    Google Scholar 

  4. Levy, P., Yamanaka, T., Tomico, O.: Psychophysiological Applications in Kansei, in Kansei Engineering and Soft Computing: Theory and Practice. Technical report, IGI Global (2011)

    Google Scholar 

  5. Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)

    Article  Google Scholar 

  6. Ikeda, Y., Horie, R., Sugaya, M.: Estimating emotion with biological information for robot interaction. Procedia Comput. Sci. 112, 1589–1600 (2016)

    Article  Google Scholar 

  7. Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Front. Public Health 5, 1–17 (2017)

    Article  Google Scholar 

  8. NeuroSky, Inc.: EEG Biosensors: Biometric Algorithms. http://neurosky.com/biosensors/eeg-sensor/algorithms. Accessed 14 Feb 2021 (2021)

  9. Inoue, M., Kobayashi, T.: The research domain and scale construction of adjective pairs in a semantic differential method in Japan. Jpn. J. Educ. Psychol. 33(3), 253–260 (1985). (in Japanese)

    Google Scholar 

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Acknowledgment

This research is in collaboration with the Alps Alpine Co., Ltd.

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Correspondence to Tipporn Laohakangvalvit .

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Ueno, S., Zhang, R., Laohakangvalvit, T., Sugaya, M. (2021). Evaluating Comfort in Fully Autonomous Vehicle Using Biological Emotion Map. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_38

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  • DOI: https://doi.org/10.1007/978-3-030-80012-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80011-6

  • Online ISBN: 978-3-030-80012-3

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