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research-article

User-defined motion gestures for mobile interaction

Authors:

Edward LankAuthors Info & Claims

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 197 - 206

https://doi.org/10.1145/1978942.1978971

Published: 07 May 2011 Publication History

Abstract

Modern smartphones contain sophisticated sensors to monitor three-dimensional movement of the device. These sensors permit devices to recognize motion gestures - deliberate movements of the device by end-users to invoke commands. However, little is known about best-practices in motion gesture design for the mobile computing paradigm. To address this issue, we present the results of a guessability study that elicits end-user motion gestures to invoke commands on a smartphone device. We demonstrate that consensus exists among our participants on parameters of movement and on mappings of motion gestures onto commands. We use this consensus to develop a taxonomy for motion gestures and to specify an end-user inspired motion gesture set. We highlight the implications of this work to the design of smartphone applications and hardware. Finally, we argue that our results influence best practices in design for all gestural interfaces.

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Cited By

Wang IRuiz JKappas A(2025)Body Language Between Humans and MachinesBody Language Communication10.1007/978-3-031-70064-4_18(443-476)Online publication date: 2-Jan-2025
https://doi.org/10.1007/978-3-031-70064-4_18
Bernardos AWang XBergesio LBesada JCasar J(2024)Assessing the Acceptance of a Mid-Air Gesture Syntax for Smart Space Interaction: An Empirical StudyJournal of Sensor and Actuator Networks10.3390/jsan1302002513:2(25)Online publication date: 9-Apr-2024
https://doi.org/10.3390/jsan13020025
Sato YAmesaka TYamamoto TWatanabe HSugiura Y(2024)Exploring User-Defined Gestures as Input for Hearables and Recognizing Ear-Level Gestures with IMUsProceedings of the ACM on Human-Computer Interaction10.1145/36765038:MHCI(1-23)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676503
Show More Cited By

Index Terms

User-defined motion gestures for mobile interaction
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

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Published In

cover image ACM Conferences

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2011

3530 pages

ISBN:9781450302289

DOI:10.1145/1978942

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Carl Gutwin
University of Saskatchewan
,
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Copyright © 2011 ACM.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

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Published: 07 May 2011

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CHI '11

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SIGCHI

CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Wang IRuiz JKappas A(2025)Body Language Between Humans and MachinesBody Language Communication10.1007/978-3-031-70064-4_18(443-476)Online publication date: 2-Jan-2025
https://doi.org/10.1007/978-3-031-70064-4_18
Bernardos AWang XBergesio LBesada JCasar J(2024)Assessing the Acceptance of a Mid-Air Gesture Syntax for Smart Space Interaction: An Empirical StudyJournal of Sensor and Actuator Networks10.3390/jsan1302002513:2(25)Online publication date: 9-Apr-2024
https://doi.org/10.3390/jsan13020025
Sato YAmesaka TYamamoto TWatanabe HSugiura Y(2024)Exploring User-Defined Gestures as Input for Hearables and Recognizing Ear-Level Gestures with IMUsProceedings of the ACM on Human-Computer Interaction10.1145/36765038:MHCI(1-23)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676503
Vanderdonckt JVatavu RSluÿters A(2024)Engineering Touchscreen Input for 3-Way Displays: Taxonomy, Datasets, and ClassificationCompanion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3660515.3661331(57-65)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3660515.3661331
Wang NZielasko DMaurer F(2024)User Preferences for Interactive 3D Object Transitions in Cross Reality - An Elicitation StudyProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656698(1-9)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3656650.3656698
Tian JWang YYu KXu LXie JLi FNiu YFan M(2024)Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VRProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642884(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642884
Sun QHu YFan MLi JWang S(2024)“Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with DystoniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642378(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642378
Andrei ABilius LVatavu R(2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642028
Kyung-Chan AJun-Ying LChu-Feng YTimothy NVarku SQinjie WKajal PMathews NBasu AKim T(2024)A Dynamic Gesture Recognition Algorithm Using Single Halide Perovskite Photovoltaic Cell for Human-Machine Interaction2024 International Conference on Electronics, Information, and Communication (ICEIC)10.1109/ICEIC61013.2024.10457182(1-4)Online publication date: 28-Jan-2024
https://doi.org/10.1109/ICEIC61013.2024.10457182
Xiao YLiu L(2024)User-Defined Interactions for Visual Data Exploration With the Combination of Smartwatch and Large DisplayIEEE Access10.1109/ACCESS.2024.340487612(78657-78679)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3404876
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