Abstract
Before automated driving vehicles are put to practical use, people should know how those vehicles run and how a driver should operate them for safety. Some drivers are interested in learning about automated driving vehicles, others are less interested in it. There are individual differences in learning styles as well as a risk reduction method such as resilience. Thus, two types of motivational video materials were developed and investigated which type of video was effective. As a result, narrative-based motivational video was most effective. In short, this study especially focused on resilience and learning style as personal attributes and verified the effectiveness of narrative-based motivational materials.
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Acknowledgements
This work was supported by Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), entitled “Human Factors and HMI Research for Automated Driving ” (funding agency: NEDO).
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Arame, M. et al. (2022). Using Narrative-Based Video on Gaining Safety Driving: Focusing on Career Resilience and Learning Style in Automated Driving Level 3. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_68
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