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Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups
Acte de colloque

Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups

Antonio Camurri, Cora Gasparotti, Eleonora Ceccaldi, Andrea Cera, Benoît Bardy, Marta Bieńkiewicz, Stefan Janaqi, Gualtiero Volpe, Giorgio Gnecco et Nicola Ferrari
AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces, Arenzano, Genoa Italy June 3 - 7, 2024, pp.1-3
AVI 2024 - International Conference on Advanced Visual Interfaces 2024 (Arenzano, France, 03/06/2024–07/06/2024)
03/06/2024

Résumé

Computing methodologies Human-centered computing
This poster presents an art-inspired iterative design approach applied to the definition of two experimental scenarios for movement data collection. Scenarios are inspired by warm-up exercises dancers perform to broaden group consciousness. Research focuses on the influence an expert dancer exerts on novice dancers by propagating her own movement patterns (individual motor signatures), for stimulating the emergence of a group movement pattern (group motor signature).

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