research-article

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

Authors:

Myroslav Bachynskyi,

Gregorio Palmas,

Antti Oulasvirta,

Tino WeinkaufAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 21, Issue 6

Article No.: 30, Pages 1 - 25

https://doi.org/10.1145/2687921

Published: 14 January 2015 Publication History

Abstract

This article presents a novel summarization of biomechanical and performance data for user interface designers. Previously, there was no simple way for designers to predict how the location, direction, velocity, precision, or amplitude of users’ movement affects performance and fatigue. We cluster muscle coactivation data from a 3D pointing task covering the whole reachable space of the arm. We identify 11 clusters of pointing movements with distinct muscular, spatio-temporal, and performance properties. We discuss their use as heuristics when designing for 3D pointing.

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Cited By

Li YTag BDai SCrowther RDwyer TIrani PEns B(2024)NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air InteractionsACM Transactions on Graphics10.1145/365823043:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658230
Boem ATurchet L(2024)Selection as Tapping: An evaluation of 3D input techniques for timing tasks in musical Virtual RealityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103231185(103231)Online publication date: May-2024
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Lee JLee K(2024)LimberUI: A Model-Based Design Tool for 3D UI Layouts Accommodating Uncertainty in Context of Use and User AttributesVirtual, Augmented and Mixed Reality10.1007/978-3-031-61044-8_3(29-40)Online publication date: 29-Jun-2024
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Index Terms

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 21, Issue 6

Special Issue on Physiological Computing for Human-Computer Interaction

January 2015

144 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/2722827

Editor:
Shumin Zhai
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Publication History

Published: 14 January 2015

Accepted: 01 September 2014

Revised: 01 August 2014

Received: 01 December 2013

Published in TOCHI Volume 21, Issue 6

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Cluster of Excellence for Multimodal Computing and Interaction at Saarland University
Max Planck Center for Visual Computing and Communication and the International Max Planck Research School for Computer Science at the Max Planck Institute for Informatics

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https://dl.acm.org/doi/10.1145/3658230
Boem ATurchet L(2024)Selection as Tapping: An evaluation of 3D input techniques for timing tasks in musical Virtual RealityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103231185(103231)Online publication date: May-2024
https://doi.org/10.1016/j.ijhcs.2024.103231
Lee JLee K(2024)LimberUI: A Model-Based Design Tool for 3D UI Layouts Accommodating Uncertainty in Context of Use and User AttributesVirtual, Augmented and Mixed Reality10.1007/978-3-031-61044-8_3(29-40)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61044-8_3
Gomi RTakashima KOnishi YFujita KKitamura Y(2023)UbiSurface: A Robotic Touch Surface for Supporting Mid-air Planar Interactions in Room-Scale VRProceedings of the ACM on Human-Computer Interaction10.1145/36264797:ISS(376-397)Online publication date: 1-Nov-2023
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Li YCrowther RSmiley JDwyer TTag BIrani PEns B(2023)Revisiting Consumed Endurance: A NICE Way to Quantify Shoulder Fatigue in Virtual RealityProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615702(1-10)Online publication date: 9-Oct-2023
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