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Informing the Design of Novel Input Methods with Muscle Coactivation Clustering
Max Planck Institute for Informatics, Germany.
Max Planck Institute for Informatics, Germany.ORCID iD: 0000-0002-1498-9062
2015 (English)In: ACM Transactions on Computer-Human Interaction, Vol. 21, no 6, 30-1 p.Article in journal (Refereed) PublishedText
Abstract [en]

This paper 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 eleven clusters of pointing movements with distinct muscular, spatio-temporal and performance properties. We discuss their use as heuristics when designing for 3D pointing.

Place, publisher, year, edition, pages
ACM Digital Library, 2015. Vol. 21, no 6, 30-1 p.
Keyword [en]
Muscle coactivation clustering, biomechanical simulation, physical ergonomics, user interface design, user performance
National Category
Computer Science
Research subject
Computer Science; SRA - E-Science (SeRC)
Identifiers
URN: urn:nbn:se:kth:diva-184822DOI: 10.1145/2687921OAI: oai:DiVA.org:kth-184822DiVA: diva2:916919
Note

QC 20160408

Available from: 2016-04-05 Created: 2016-04-05 Last updated: 2016-04-08Bibliographically approved

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Palmas, GregorioWeinkauf, Tino
Computer Science

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ReferencesLink to record
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