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Current Use, Non-Use, and Future Use of Ballet Learning Technologies

Published: 28 June 2021 Publication History

Abstract

Learning ballet is a complex motor task that can be effectively enhanced by technology. Learning technologies, however, are not typically used for the assessment of ballet technique due to a lack of adequate and non-invasive tools that can be pragmatically adopted. We conducted an interview-based qualitative study with seven expert ballet teachers and six pre-professional dancers to examine their current and future technology use in a ballet technique class. Through inductive and deductive analysis, we identified reasons for technology non-use and derived seven requirements that can inform the design and implementation of ballet assessment technologies including designing for: adaptation to multi-skill/multi-method environments, teacher/dancer skill augmentation, agency, non-invasive design, feedback for gross/fine movements, trust, and proprioception by supporting transformative assessment. We discuss barriers for technology acceptance and unintended consequences that should be considered when designing future technologies for ballet.

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Cited By

View all
  • (2023)Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperationEducation and Information Technologies10.1007/s10639-023-11649-028:9(12111-12141)Online publication date: 4-Mar-2023
  • (2022)Dance Transitions: What Forms of Technology Best Support Professional Dancers as They Learn New Movement Styles?Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517448(1-14)Online publication date: 29-Apr-2022
  • (2022)Context-based Data Augmentation for Improved Ballet Pose Recognition2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)10.1109/icABCD54961.2022.9856109(1-6)Online publication date: 4-Aug-2022

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cover image ACM Conferences
DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference
June 2021
2082 pages
ISBN:9781450384766
DOI:10.1145/3461778
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Published: 28 June 2021

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  1. Ballet learning technologies
  2. Ballet technology
  3. Dance technology
  4. Design Requirements
  5. HCI

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View all
  • (2023)Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperationEducation and Information Technologies10.1007/s10639-023-11649-028:9(12111-12141)Online publication date: 4-Mar-2023
  • (2022)Dance Transitions: What Forms of Technology Best Support Professional Dancers as They Learn New Movement Styles?Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517448(1-14)Online publication date: 29-Apr-2022
  • (2022)Context-based Data Augmentation for Improved Ballet Pose Recognition2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)10.1109/icABCD54961.2022.9856109(1-6)Online publication date: 4-Aug-2022

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