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Influence of Visual Symbol’s User Background and Symbol Semantic Abstraction Level on User’s Cognition in AR Auxiliary Assembly Environment

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HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12425))

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Abstract

This paper reports on a cognitive study on visual symbol in the field of AR auxiliary mechanical assembly, which is used to measure the cognitive mechanism of visual signs. Based on the Likert scale method, we conducted an experimental study. The independent variables were the semantic abstraction level of the symbol and the user background. The dependent variables include the specificity, complexity, familiarity, and semantic consistency. A total of 42 subjects participated in the experiment. The main findings of this study were as follows: (1) the semantic abstraction level of symbols has significant differences in the specificity, complexity, familiarity, and semantic consistency (P < 0.05); (2) The influence of user background on the cognition of symbols was not significant; (3) There were significant interactions effect among user background, semantic abstraction level and specificity (P < 0.05). In addition, this study provides a method for symbol design evaluation using data analysis in related working conditions in AR industrial applications.

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Acknowledgments

The research financial supported by Industrial Technology Development Program (JCKY2016204A502).

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Authors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Lei Wu, Yao Su & Junfeng Wang

Authors
  1. Lei Wu
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  2. Yao Su
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  3. Junfeng Wang
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Corresponding author

Correspondence to Lei Wu .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Greece

    Constantine Stephanidis

  2. Coventry University, Coventry, UK

    Don Harris

  3. Cranfield University, Cranfield, UK

    Wen-Chin Li

  4. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  5. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

  6. Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  7. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  8. DePaul University, Chicago, IL, USA

    Xiaowen Fang

  9. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  10. Fraunhofer FKIE, Wachtberg, Germany

    Jessica Schwarz

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Wu, L., Su, Y., Wang, J. (2020). Influence of Visual Symbol’s User Background and Symbol Semantic Abstraction Level on User’s Cognition in AR Auxiliary Assembly Environment. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. Lecture Notes in Computer Science(), vol 12425. Springer, Cham. https://doi.org/10.1007/978-3-030-60128-7_10

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  • DOI: https://doi.org/10.1007/978-3-030-60128-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60127-0

  • Online ISBN: 978-3-030-60128-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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