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TwinkleBands: Wearable Technology Supporting Movement Imitation and Coordination in Fast-Paced Fitness Training
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media, Human-Computer Interaction.ORCID iD: 0000-0002-1769-0138
2021 (English)In: Extended abstracts of the 2021 CHI conference on human factors in computing systems (CHI'21), Association for Computing Machinery (ACM) Association for Computing Machinery (ACM), 2021Conference paper, Published paper (Refereed)
Abstract [en]

Fast-paced fitness training (e.g. aerobics, Bodycombat, step workouts) is one of the most popular activities at fitness clubs worldwide because it is beneficial for physical health and it can enhance participants' motivation and engagement of fitness training. Yet, their fast pace and required coordination make it difficult for some participants, especially for beginners and those with coordination problems, to follow the class. Here we present the design, implementation and qualitative user evaluation of TwinkleBands, a piece of wearable technology that provides real-time support with trainees' movement and coordination learning by providing discriminative visual cues on the extremities. We show that TwinkleBands helps movement imitation and coordination in several ways. Based on this, we discuss key design takeaways for future technology design to support movement teaching and learning in fast-paced activities.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) Association for Computing Machinery (ACM), 2021.
Keywords [en]
Fast-paced training, Movement learning, Wearable devices
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-471597DOI: 10.1145/3411763.3451676ISI: 000759178501158ISBN: 978-1-4503-8095-9 (print)OAI: oai:DiVA.org:uu-471597DiVA, id: diva2:1649252
Conference
CHI Conference on Human Factors in Computing Systems, MAY 08-13, 2021, ELECTR NETWORK
Available from: 2022-04-04 Created: 2022-04-04 Last updated: 2024-01-15Bibliographically approved

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Turmo Vidal, Laia

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf