Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner

Milka Trajkova; Duri Long; Manoj Desphande; Andrea Knowlton; Brian Magerko

doi:10.1145/3613904.3642677

Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner

Milka Trajkova, Duri Long, Manoj Desphande, Andrea Knowlton, Brian Magerko

Communication Studies

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

9 Scopus citations

Abstract

Co-creation in embodied contexts is central to the human experience but is often lacking in our interactions with computers. We seek to develop a better understanding of embodied human co-creativity to inform the human-centered design of machines that can co-create with us. In this paper, we ask: What characterizes dancers' experiences of embodied dyadic interaction in movement improvisation? To answer this, we ran focus groups with 24 university dance students and conducted a thematic analysis of their responses. We synthesize our findings in an Interconnected Model of Improvisational Dance Inputs, where movement choices are shaped by the interplay between in-the-moment influences between the self, partner, and the environment, a set of generative strategies, and heuristics for a successful collaboration. We present a set of design recommendations for LuminAI, a co-creative AI dance partner. Our contributions can inform the design of AI in embodied co-creative domains.

Original language	English (US)
Title of host publication	CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400703300
DOIs	https://doi.org/10.1145/3613904.3642677
State	Published - May 11 2024
Event	2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, United States Duration: May 11 2024 → May 16 2024

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Country/Territory	United States
City	Hybrid, Honolulu
Period	5/11/24 → 5/16/24

Funding

We would like to thank Cassandra Naomi for her help running the focus groups and development work on LuminAI; Morgan Duvall for her help in data synthesis as well as Kennesaw State University's Department of Dance. This project is funded by the National Science Foundation (CMII 2123597).

Keywords

AI agents
co-creative agents
co-creativity
computational creativity
dance improvisation
movement improvisation

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/3613904.3642677

Cite this

Trajkova, M., Long, D., Desphande, M., Knowlton, A., & Magerko, B. (2024). Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Article 890 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3613904.3642677

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abstract = "Co-creation in embodied contexts is central to the human experience but is often lacking in our interactions with computers. We seek to develop a better understanding of embodied human co-creativity to inform the human-centered design of machines that can co-create with us. In this paper, we ask: What characterizes dancers' experiences of embodied dyadic interaction in movement improvisation? To answer this, we ran focus groups with 24 university dance students and conducted a thematic analysis of their responses. We synthesize our findings in an Interconnected Model of Improvisational Dance Inputs, where movement choices are shaped by the interplay between in-the-moment influences between the self, partner, and the environment, a set of generative strategies, and heuristics for a successful collaboration. We present a set of design recommendations for LuminAI, a co-creative AI dance partner. Our contributions can inform the design of AI in embodied co-creative domains.",

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Trajkova, M, Long, D, Desphande, M, Knowlton, A & Magerko, B 2024, Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner. in CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems., 890, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024, Hybrid, Honolulu, United States, 5/11/24. https://doi.org/10.1145/3613904.3642677

Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner. / Trajkova, Milka; Long, Duri; Desphande, Manoj et al.
CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery, 2024. 890 (Conference on Human Factors in Computing Systems - Proceedings).

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

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Trajkova M, Long D, Desphande M, Knowlton A, Magerko B. Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery. 2024. 890. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3613904.3642677

Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance Partner

Abstract

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Keywords

ASJC Scopus subject areas

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