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Mood Board Tool - An Innovation Method in Vehicle HMI Design

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Distributed, Ambient and Pervasive Interactions (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12203))

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Abstract

This paper explores conceptual design methods in the vehicle HMI design process. By adopting theory framework construction and case studies, we propose a mood board as the tool to integrate “software” and “hardware” in-vehicle HMI interaction design. The effectiveness and feasibility of this tool are supported by the industrial design undergraduate course, which is the transportation concept design. We were using the proposed mood board tool as an innovative approach assisting electric vehicle HMI design. Students of industrial design and interaction design got involved in the design process. We received positive feedback as to the effectiveness of the method with a satisfactory outcome overall.

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Acknowledgments

This research was supported by Humanities and Social Sciences Research Funds of the Ministry of Education of the People’s Republic of China (19C10288009/19YJC760004), Fundamental Research Funds for the Central Universities (1171090797/30917013111). The authors would like to thank editors and reviewers for their comments.

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Authors and Affiliations

  1. School of Design Art and Media, Nanjing University of Science and Technology, 200, Xiaolingwei Street, Nanjing, 210094, Jiangsu, People’s Republic of China

    Qingshu Zeng

  2. Shanghai International College of Design and Innovation, Tongji University, 1239, Siping Road, Shanghai, 200092, People’s Republic of China

    Mingyue Hu

Authors
  1. Qingshu Zeng
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  2. Mingyue Hu
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Corresponding author

Correspondence to Qingshu Zeng .

Editor information

Editors and Affiliations

  1. Smart Future Initiative, Frankfurt/Main, Germany

    Norbert Streitz

  2. Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Zeng, Q., Hu, M. (2020). Mood Board Tool - An Innovation Method in Vehicle HMI Design. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2020. Lecture Notes in Computer Science(), vol 12203. Springer, Cham. https://doi.org/10.1007/978-3-030-50344-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-50344-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50343-7

  • Online ISBN: 978-3-030-50344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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