First steps in dance data science: Educational design

Yoav Bergner; Shiri Mund; Ofer Chen; Willie Payne

doi:10.1145/3347122.3347137

First steps in dance data science: Educational design

Yoav Bergner, Shiri Mund, Ofer Chen, Willie Payne

Administration, Leadership & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We report results of a design-research effort to develop a culturallyrelevant educational experience that can engage high school dancers in statistics and data science. In partnership with a local high school and members of its step team, we explore quantitative analysis of both visual and acoustic data captured from student dance. We describe prototype visualizations and interactive applications for evaluating pose precision, tempo, and timbre. With educational goals in mind, we have constrained our design to using only interpretable features and simple, accessible algorithms.

Original language	English (US)
Title of host publication	MOCO 2019 - 6th International Conference on Movement and Computing
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450376549
DOIs	https://doi.org/10.1145/3347122.3347137
State	Published - Oct 10 2019
Event	6th International Conference for Movement and Computing, MOCO 2019 - Tempe, United States Duration: Oct 10 2019 → Oct 12 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference for Movement and Computing, MOCO 2019
Country/Territory	United States
City	Tempe
Period	10/10/19 → 10/12/19

Keywords

Dance analytics
Data science
Education
Motion capture

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3347122.3347137

Cite this

Bergner, Y, Mund, S, Chen, O & Payne, W 2019, First steps in dance data science: Educational design. in MOCO 2019 - 6th International Conference on Movement and Computing., a14, ACM International Conference Proceeding Series, Association for Computing Machinery, 6th International Conference for Movement and Computing, MOCO 2019, Tempe, United States, 10/10/19. https://doi.org/10.1145/3347122.3347137

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AB - We report results of a design-research effort to develop a culturallyrelevant educational experience that can engage high school dancers in statistics and data science. In partnership with a local high school and members of its step team, we explore quantitative analysis of both visual and acoustic data captured from student dance. We describe prototype visualizations and interactive applications for evaluating pose precision, tempo, and timbre. With educational goals in mind, we have constrained our design to using only interpretable features and simple, accessible algorithms.

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M3 - Conference contribution

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First steps in dance data science: Educational design

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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