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Enabling finger pointing based text selection on touchscreen mobile devices

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Published:27 June 2019Publication History

ABSTRACT

Text selection relying on adjustment handles is a frequently used method on touchscreen mobile devices. However, this method suffers from limitations such as slow and unconformable interactions when dragging handles and being inadequate to select non-adjacent text for editing together. To address these limitations, this study proposes Text Pin, a novel technique that specifies the two ends of intended text by finger tapping rather than finger dragging. We designed mode-augmented handles to enable such operation. Experimental results show Text Pin was faster than default handle-based techniques on Android while maintaining comparable selection accuracy.

References

  1. Chen Chen, Simon T. Perrault, Shengdong Zhao, and Wei Tsang Ooi. 2014. BezelCopy: An Efficient Cross-application Copy-paste Technique for Touchscreen Smartphones. In Proceedings of AVI 2014. ACM, New York, NY, USA, 185--192. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Cockburn, D. Ahlström, and C. Gutwin. 2012. Understanding Performance in Touch Selections: Tap, Drag and Radial Pointing Drag with Finger, Stylus and Mouse. Int. J. Hum.-Comput. Stud. 70, 3 (2012), 218--233. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Kenji Suzuki, Kazumasa Okabe, Ryuuki Sakamoto, and Daisuke Sakamoto. 2016. Fix and slide: Caret navigation with movable background. In Proceedings of Mobile HCI 2016. ACM, 478--482. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Enabling finger pointing based text selection on touchscreen mobile devices

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          cover image ACM Other conferences
          Chinese CHI '19: Proceedings of the Seventh International Symposium of Chinese CHI
          June 2019
          128 pages
          ISBN:9781450372473
          DOI:10.1145/3332169

          Copyright © 2019 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 June 2019

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          Overall Acceptance Rate17of40submissions,43%

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