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International Conference on Intelligent Computing

ICIC 2018: Intelligent Computing Theories and Application pp 85–92Cite as

Find the ‘Lost’ Cursor: A Comparative Experiment of Visually Enhanced Cursor Techniques

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10955))

Abstract

We proposed eight visually enhanced cursor techniques (VECTs) to help users locate a cursor more easily and quickly. A thorough comparative experiment was conducted to evaluate the proposed and other existing prominent VECTs. The experimental results showed that the usefulness and performance of these techniques were dependent on their applied backgrounds and their cursor shapes. All the VECTs performed faster than the baseline in a common or a complex background. And the cursor-shape deforming technique totally outperformed all the others concerning mean task completion time in any kind of background.

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References

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Acknowledgment

Supported by the Fundamental Research Funds for the Central Universities Grants No. lzujbky-2016-k07.

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Authors and Affiliations

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

    Chuanyi Liu & Rui Zhao

Authors
  1. Chuanyi Liu
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  2. Rui Zhao
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Corresponding author

Correspondence to Chuanyi Liu .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Wuhan University of Science and Technology, Wuhan City, China

    Xiao-Long Zhang

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Cite this paper

Liu, C., Zhao, R. (2018). Find the ‘Lost’ Cursor: A Comparative Experiment of Visually Enhanced Cursor Techniques. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-95933-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95932-0

  • Online ISBN: 978-3-319-95933-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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