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Design Methodologies for Human-Artificial Systems Design: An Automotive AR-HUD Design Case Study

  • Cuiqiong Cheng
  • Fang YouEmail author
  • Preben Hansen
  • Jianmin Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

With the development of society, technical products become more complex and intelligent. Interaction design of intelligent products is meeting new challenges. It requires practitioners to wade into the whole product development process and grasp basic interdisciplinary knowledge. This paper focuses on design methodologies for Human-Artificial Systems design with interdisciplinary knowledge. In the Interaction Design Method Framework (IDMF) we proposed, design runs through the whole product development process to help practitioners propose emerging technology-based designs. The IDMF framework is composed of 102 design methods and six phases. We deconstructed each phase of the IDMF according to three dimensions, design, information, and business. This paper offers a practical guide to using the IDMF framework by providing a high-level summary of the automotive AR-HUD design. It presented how the IDMF framework help practitioners effectively guide the design team and propose emerging technology-based designs.

Keywords

Design method Interaction design Human-Artificial systems design Connected and automated vehicles Augmented reality Head-Up display 

Notes

Acknowledgements

This work was supported by The National Key Research and Development Program of China (No. 2018YFB1004903) and Shanghai Automotive Industry Science and Technology Development Fundation (No. 1717).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Cuiqiong Cheng
    • 1
  • Fang You
    • 1
    Email author
  • Preben Hansen
    • 2
  • Jianmin Wang
    • 1
  1. 1.School of Arts and MediaTongji UniversityShanghaiChina
  2. 2.Department of Computer and Systems SciencesStockholm UniversityStockholmSweden

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