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Research About Influence of Information Presentation in UI on Scanability

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Design, User Experience, and Usability (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14032))

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Abstract

Although self-ordering is convenient, people tend to feel uneasy when using it. For example, they cite issues such as “I am not sure if I can operate the system well” and “I feel rushed because there are people waiting in line behind me.” Therefore, it is necessary to alleviate this psychological burden. This study aims to address this problem with scanability (quick and easy to understand) and clarifies the high scanability of UI. In this study, we first identified the issues of self-order UI by observing users. Next, we surveyed the existing self-orders and summarized their UI elements. Finally, we created a UI sample and examined the impact of the UI design on scanability. Furthermore, we determined the scanability of the product photo size, text size, text color, and margins by measuring the selection time and number of errors. Additionally, while scanability was less likely to affect the perceived time, it was more likely to affect the perception quality.

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Author information

Authors and Affiliations

  1. Shibaura Institute of Technology, 3-7-5, Toyosu, Koto-Ku, Tokyo, 108-8548, Japan

    Kanta Matsumoto & Wonseok Yang

Authors
  1. Kanta Matsumoto
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  2. Wonseok Yang
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Corresponding author

Correspondence to Kanta Matsumoto .

Editor information

Editors and Affiliations

  1. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  2. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  3. Southern University of Science and Technology – SUSTech, Shenzhen, China

    Marcelo M. Soares

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Matsumoto, K., Yang, W. (2023). Research About Influence of Information Presentation in UI on Scanability. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14032. Springer, Cham. https://doi.org/10.1007/978-3-031-35702-2_17

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  • DOI: https://doi.org/10.1007/978-3-031-35702-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35701-5

  • Online ISBN: 978-3-031-35702-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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