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Analysis of User Preference of AR Head-Up Display Using Attrakdiff

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12616))

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Abstract

The head-up display, a necessity for military and civil aircraft, is growing rapidly with the emergence of a variety of new markets such as automobile, sports, and infotainment. The global automotive head-up display market is expected to grow from $3.71 billion in 2020 to an annual average growth rate of 28.54%, reaching $13.02 billion and 15.6 million units in 2025. And AR HUD (augmented reality-based head-up display) has been mainly developed in the head-up display industry. The purpose of this study is to define what elements should be strategically utilized for the future car AR head-up display development by using Attrakdiff in automotive head-up display design to analyze user feedback according to the graphic style of the head-up display. To conduct the study, we selected two graphic styles of 2.5D, AR head-up display, and surveyed 500 people (250 males, 250 females) using Attrakdiff. As a result, we were able to define what elements should be strategically utilized for the future car AR head-up display development as an early stage study.

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Authors and Affiliations

  1. Seoul Media Institute of Technology, Seoul, South Korea

    Young Jin Kim & Hoon Sik Yoo

Authors
  1. Young Jin Kim
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  2. Hoon Sik Yoo
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Corresponding author

Correspondence to Hoon Sik Yoo .

Editor information

Editors and Affiliations

  1. Woosong University, Daejeon, Korea (Republic of)

    Madhusudan Singh

  2. Dongseo University, Busan, Korea (Republic of)

    Dae-Ki Kang

  3. Keimyung University, Daegu, Korea (Republic of)

    Jong-Ha Lee

  4. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  5. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

  6. Pukyong National University, Busan, Korea (Republic of)

    Wan-Young Chung

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Kim, Y.J., Yoo, H.S. (2021). Analysis of User Preference of AR Head-Up Display Using Attrakdiff. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12616. Springer, Cham. https://doi.org/10.1007/978-3-030-68452-5_35

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  • DOI: https://doi.org/10.1007/978-3-030-68452-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68451-8

  • Online ISBN: 978-3-030-68452-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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