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Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices

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Intelligent Computing Methodologies (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11645))

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Abstract

Scrolling is a frequent operation on a mobile screen. The current scrolling method for a mobile device is both time-consuming and fatigue-prone, especially for one-handed interaction mode. In this study, we systematically evaluated six tilt-based scrolling techniques together with the base line through a repeated measure experiment participated by twenty-one subjects. The experimental results revealed that tilt-based scrolling techniques were more suitable for one-handed interaction with higher interaction performance and were less fatigue-prone than the base line. Tilt scrolling techniques with adaptive reference points outperformed those with the horizontal reference point in terms of scrolling speed and accuracy. The Step control function had higher interaction efficiency than the other two functions but was more error-prone. The results of our study have some implications for the design of scrolling techniques on mobile screens.

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Acknowledgement

This work is supported by Science Foundation of Guangxi (AA17204096, AD16380076).

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, China

    Chuanyi Liu, Chang Liu & Wei Su

  2. Fiberhome Telecommunication Technologies Co., LTD., Wuhan, China

    Hao Mao

Authors
  1. Chuanyi Liu
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  2. Chang Liu
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  3. Hao Mao
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  4. Wei Su
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Corresponding author

Correspondence to Chuanyi Liu .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Nanchang Institute of Technology, Nanchang, China

    Zhi-Kai Huang

  3. Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Liu, C., Liu, C., Mao, H., Su, W. (2019). Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices. In: Huang, DS., Huang, ZK., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2019. Lecture Notes in Computer Science(), vol 11645. Springer, Cham. https://doi.org/10.1007/978-3-030-26766-7_18

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  • DOI: https://doi.org/10.1007/978-3-030-26766-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26765-0

  • Online ISBN: 978-3-030-26766-7

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