We describe the implementation and preliminary validation of an interactive platform – COLLEGO – to investigate joint action in a goal-oriented collaborative task. The platform records the interaction sequence of two partners alternating their leader/follower role. Two sensitized wooden surfaces are placed in front of each participant, who can use 6 cubes to build the tower. Any time a cube is picked/released, time stamp (ms) and position of selected objects are recorded. A case study showing how data are collected and analyzed to study dyad performance during the task is described. Finally, potential applications of the proposed solution are discussed.

Chirico, A., Graziosi, S., Ferrise, F., Gallace, A., Mosconi, C., Cazzaniga, M., et al. (2018). COLLEGO: An interactive platform for studying joint action during an ecological collaboration task. In N. Oliver, S. Serino, A. Matic, P. Cipresso, N. Filipovic, L. Gavrilovska (a cura di), Pervasive Computing Paradigms for Mental Health (pp. 67-72). Springer Verlag [10.1007/978-3-319-74935-8_9].

COLLEGO: An interactive platform for studying joint action during an ecological collaboration task

Gallace, Alberto;Zurloni, Valentino;Mantovani, Fabrizia;Cipresso, Pietro;
2018

Abstract

We describe the implementation and preliminary validation of an interactive platform – COLLEGO – to investigate joint action in a goal-oriented collaborative task. The platform records the interaction sequence of two partners alternating their leader/follower role. Two sensitized wooden surfaces are placed in front of each participant, who can use 6 cubes to build the tower. Any time a cube is picked/released, time stamp (ms) and position of selected objects are recorded. A case study showing how data are collected and analyzed to study dyad performance during the task is described. Finally, potential applications of the proposed solution are discussed.
No
Scientifica
Capitolo o saggio
Human-human interaction; Joint action; Performance; Sensors; Synchronization; Time-series analysis;
human-human interaction, joint action, performance, sensors, synchronization, time-series analysis
English
Pervasive Computing Paradigms for Mental Health
9783319749341
Chirico, A., Graziosi, S., Ferrise, F., Gallace, A., Mosconi, C., Cazzaniga, M., et al. (2018). COLLEGO: An interactive platform for studying joint action during an ecological collaboration task. In N. Oliver, S. Serino, A. Matic, P. Cipresso, N. Filipovic, L. Gavrilovska (a cura di), Pervasive Computing Paradigms for Mental Health (pp. 67-72). Springer Verlag [10.1007/978-3-319-74935-8_9].
Chirico, A; Graziosi, S; Ferrise, F; Gallace, A; Mosconi, C; Cazzaniga, M; Zurloni, V; Elia, M; Cerritelli, F; Mantovani, F; D’Ausilio, A; Cipresso, P; Riva, G; Gaggioli, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/215617
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