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

Author:

Camurri Antonio1ORCID,Gasparotti Cora1ORCID,Ceccaldi Eleonora1ORCID,Cera Andrea1ORCID,Bardy Benoît2ORCID,Bieńkiewicz Marta2ORCID,Janaqi Stefan3ORCID,Volpe Gualtiero1ORCID,Gnecco Giorgio4ORCID,Ferrari Nicola5ORCID

Affiliation:

1. DIBRIS - University of Genoa, Italy

2. EuroMov Digital Health in Motion - University of Montpellier, France

3. EuroMov Digital Health in Motion - IMT Mines Alès, France

4. AXES Research Unit - IMT Lucca, Italy

5. DIRAAS - University of Genoa, Italy

Funder

EU Horizon Europe

European Union

Next Generation EU program

Publisher

ACM

Reference4 articles.

1. Bridging the gap between emotion and joint action

2. Application of multimedia techniques in the physical rehabilitation of Parkinson's patients

3. S. Fdili Alaoui, J. Françoise, T. Schiphorst, K. Studd, and F. Bevilacqua. 2017. Seeing, sensing and recognizing Laban movement qualities. In Proceedings of CHI ’17: the 2017 CHI Conference on Human Factors in Computing Systems. 4009–4020.

4. Dynamic similarity promotes interpersonal coordination in joint action

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