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ProxiWatch: Enhancing Smartwatch Interaction through Proximity-based Hand Input

Published: 07 May 2016 Publication History

Abstract

Smartwatches allow ubiquitous and mobile interaction with digital contents. Because of the small screen sizes, traditional interaction techniques are often not applicable. In this work, we show how the degree of freedom offered by the elbow joint, i.e., flexion and extension, can be leveraged as an additional one-handed input modality for smartwatches. By moving the watch towards or away from the body, the user is able to provide input to the smartwatch without a second hand. We present the results of a controlled experiment focusing on the human capabilities for proximity-based interaction. Based on the results, we propose guidelines for designing proximity-based smartwatch interfaces and present ProxiWatch: a one-handed and proximity-based input modality for smartwatches alongside a prototypical implementation.

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Cited By

View all
  • (2024)Thumb-to-Finger Gesture Recognition Using COTS Smartwatch AccelerometersProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701600(184-195)Online publication date: 1-Dec-2024
  • (2023)Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581461(1-14)Online publication date: 19-Apr-2023
  • (2017)My Interests, My Activities: Learning from an Intergenerational Comparison of Smartwatch UseHuman Aspects of IT for the Aged Population. Applications, Services and Contexts10.1007/978-3-319-58536-9_10(114-129)Online publication date: 14-May-2017

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  1. ProxiWatch: Enhancing Smartwatch Interaction through Proximity-based Hand Input

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    cover image ACM Conferences
    CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2016
    3954 pages
    ISBN:9781450340823
    DOI:10.1145/2851581
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 07 May 2016

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    Author Tags

    1. design
    2. human factors
    3. measurement
    4. smartwatch

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    • MSIP

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    CHI'16
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    CHI'16: CHI Conference on Human Factors in Computing Systems
    May 7 - 12, 2016
    California, San Jose, USA

    Acceptance Rates

    CHI EA '16 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    ACM CHI Conference on Human Factors in Computing Systems
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    Cited By

    View all
    • (2024)Thumb-to-Finger Gesture Recognition Using COTS Smartwatch AccelerometersProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701600(184-195)Online publication date: 1-Dec-2024
    • (2023)Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581461(1-14)Online publication date: 19-Apr-2023
    • (2017)My Interests, My Activities: Learning from an Intergenerational Comparison of Smartwatch UseHuman Aspects of IT for the Aged Population. Applications, Services and Contexts10.1007/978-3-319-58536-9_10(114-129)Online publication date: 14-May-2017

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