Let's dance: how to build a user model for dance students using wearable technology

Augusto Dias Pereira Dos Santos, Kalina Yacef, Roberto Martinez-Maldonado

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31 Citations (Scopus)


Motor skill learning is an area where wearable technology and user modelling can be synergistically combined for providing support. In this paper, we explore how a simple accelerometer sensor can be used to capture motion data associated with critical aspects of learning in the context of social dancing. We developed a prototype mobile app that tracks students' motion data whilst they practise dance exercises. This paper describes a set of features, such as rhythm duration, consistency and body motion, which can be automatically tracked and included into a dance student model. These dancing features can be presented back to the students as feedback, in the form of i) summaries, ii) visualisations or iii) narratives. We illustrate the feasibility and potential of modelling these features through a study with beginner students taking dance classes during three weeks.

Original languageEnglish
Title of host publicationUMAP'17 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
EditorsFederica Cena, Michel Desmarais
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages9
ISBN (Electronic)9781450346351
Publication statusPublished - 2017
Externally publishedYes
EventInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017 - Bratislava, Slovakia
Duration: 9 Jul 201712 Jul 2017
Conference number: 25th
https://dl.acm.org/doi/proceedings/10.1145/3079628 (Proceedings)


ConferenceInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017
Abbreviated titleUMAP 2017
Internet address


  • Automatic feedback
  • Dance education
  • Motor learning
  • Open learner model
  • Wearable devices

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