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Empirical evaluation for finger input properties in multi-touch interaction

Published: 04 April 2009 Publication History
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  • Abstract

    Current multi-touch interaction techniques typically only use the x-y coordinates of the human finger's contact with the screen. However, when fingers contact a touch-sensitive surface, they usually approach at an angle and cover a relatively large 2D area instead of a precise single point. In this paper, a Frustrated Total Internal Reflection (FTIR) based multi-touch device is used to collect the finger imprint data. We designed a series of experiments to explore human finger input properties and identified several useful properties such as contact area, contact shape and contact orientation which can be exploited to improve the performance of multi-touch selecting and pointing tasks. Based on the experimental results, we discuss some implications for the design of human finger input interfaces and propose several design prototypes which incorporate these implications. A set of raw data and several concrete recommendations which are useful for the research community are also presented.

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      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701
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      Published: 04 April 2009

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      Author Tags

      1. area
      2. empirical evaluation
      3. finger input property
      4. multi-touch technique
      5. orientation
      6. shape

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      CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      • (2024)DeformIO: Dynamic Stiffness Control on a Deformable Force-sensing DisplayExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650772(1-8)Online publication date: 11-May-2024
      • (2024)A Comparative Usability Study of Physical Multi-touch versus Virtual Desktop-Based Spherical Interfaces2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00100(806-816)Online publication date: 16-Mar-2024
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      • (2022)Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target PointingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517466(1-13)Online publication date: 29-Apr-2022
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