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- Bachynskyi, M. (author)
Informing the Design of Novel Input Methods with Muscle Coactivation Clustering
- Article/chapterEnglish2015
Publisher, publication year, extent ...
- 2015-01-14
- ACM Digital Library,2015
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-184822
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-184822URI
- https://doi.org/10.1145/2687921DOI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- QC 20160408
- 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.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- Muscle coactivation clustering
- biomechanical simulation
- physical ergonomics
- user interface design
- user performance
- Computer Science
- Datalogi
- SRA - E-vetenskap (SeRC)
- SRA - E-Science (SeRC)
Added entries (persons, corporate bodies, meetings, titles ...)
- Palmas, Gregorio,1985-Max Planck Institute for Informatics, Germany(Swepub:kth)u1k4nfo8 (author)
- Oulasvirta, A. (author)
- Weinkauf, Tino,1974-Max Planck Institute for Informatics, Germany(Swepub:kth)u1dsgbcl (author)
- Max Planck Institute for Informatics, Germany (creator_code:org_t)
Related titles
- In:ACM Transactions on Computer-Human Interaction: ACM Digital Library21:61073-05161557-7325
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