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Empirical evaluation for finger input properties in multi-touch interaction

Published: 04 April 2009 Publication History

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
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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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%;
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    • (2024)0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success RatesProceedings of the ACM on Human-Computer Interaction10.1145/36981538:ISS(674-693)Online publication date: 24-Oct-2024
    • (2024)Effects of Computer Mouse Lift-off Distance Settings in Mouse Lifting ActionProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676442(1-10)Online publication date: 13-Oct-2024
    • (2024)Effects of Computer Mouse Lift-off Distance Settings in Mouse Lifting ActionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650958(1-7)Online publication date: 11-May-2024
    • (2024)DeformIO: Dynamic Stiffness Control on a Deformable Force-sensing DisplayExtended Abstracts of the 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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    • (2023)TouchType-GAN: Modeling Touch Typing with Generative Adversarial NetworkProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606760(1-13)Online publication date: 29-Oct-2023
    • (2023)Text Pin: Improving text selection with mode-augmented handles on touchscreen mobile devicesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103028175(103028)Online publication date: Jul-2023
    • (2023)The role of interface configuration on performance accuracy in eyes-free touchscreen interactionUniversal Access in the Information Society10.1007/s10209-023-01057-zOnline publication date: 31-Oct-2023
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