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Multi-touch rotation gestures: performance and ergonomics

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Anu LehtiöAuthors Info & Claims

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 3047 - 3050

https://doi.org/10.1145/2470654.2481423

Published: 27 April 2013 Publication History

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Abstract

Rotations performed with the index finger and thumb involve some of the most complex motor action among common multi-touch gestures, yet little is known about the factors affecting performance and ergonomics. This note presents results from a study where the angle, direction, diameter, and position of rotations were systematically manipulated. Subjects were asked to perform the rotations as quickly as possible without losing contact with the display, and were allowed to skip rotations that were too uncomfortable. The data show surprising interaction effects among the variables, and help us identify whole categories of rotations that are slow and cumbersome for users.

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https://dl.acm.org/doi/10.1145/3613904.3642222
Ni JWang YTang GCao WYang S(2024)A lightweight GRU-based gesture recognition model for skeleton dynamic graphsMultimedia Tools and Applications10.1007/s11042-024-18313-w83:27(70545-70570)Online publication date: 31-Jan-2024
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Mohyuddin HMoosavi SZafar MSanfilippo F(2023)A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning modelsArray10.1016/j.array.2023.10031719(100317)Online publication date: Sep-2023
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Index Terms

Multi-touch rotation gestures: performance and ergonomics
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2013

3550 pages

ISBN:9781450318990

DOI:10.1145/2470654

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

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CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

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CHI '13 Paper Acceptance Rate 392 of 1,963 submissions, 20%;

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

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Cited By

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https://dl.acm.org/doi/10.1145/3613904.3642222
Ni JWang YTang GCao WYang S(2024)A lightweight GRU-based gesture recognition model for skeleton dynamic graphsMultimedia Tools and Applications10.1007/s11042-024-18313-w83:27(70545-70570)Online publication date: 31-Jan-2024
https://doi.org/10.1007/s11042-024-18313-w
Mohyuddin HMoosavi SZafar MSanfilippo F(2023)A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning modelsArray10.1016/j.array.2023.10031719(100317)Online publication date: Sep-2023
https://doi.org/10.1016/j.array.2023.100317
Duan YHe KFeng JLu JZhou J(2022)Estimating 3D Finger Pose via 2D-3D Fingerprint MatchingProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511123(459-469)Online publication date: 22-Mar-2022
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De Pra YFontana FJarvelainen HPapetti SBianchi MSonego M(2022)Evaluation of rotation gestures in rotary vs. motionless knobs2022 IEEE Haptics Symposium (HAPTICS)10.1109/HAPTICS52432.2022.9765608(1-6)Online publication date: 21-Mar-2022
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Liu GLv SWang XSun X(2022)Performance of the Rotation Gesture Based on Electrostatic Tactile Feedback DevicesInteracting with Computers10.1093/iwc/iwac00133:5(511-521)Online publication date: 16-Feb-2022
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Huang JZhang HMao LZhang DLi JJi THan R(2022)The Effect of Tablet Computer Configurations and Touchscreen Gestures on Human Biomechanics, Performance, and Subjective AssessmentInternational Journal of Human–Computer Interaction10.1080/10447318.2022.211105140:2(173-189)Online publication date: 18-Aug-2022
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