COLLEGO: An Interactive Platform for Studying Joint Action During an Ecological Collaboration Task

Alice Chirico; Serena Graziosi; Francesco Ferrise; Alberto Gallace; Cedric Mosconi; Marie Cazzaniga; Valentino Zurloni; Massimiliano Elia; Francesco Cerritelli; Fabrizia Mantovani; Alessandro D’Ausilio; Pietro Cipresso; Giuseppe Riva; Andrea Gaggioli

Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015

Research Article

COLLEGO: An Interactive Platform for Studying Joint Action During an Ecological Collaboration Task

Download

192 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-74935-8_9,
    author={Alice Chirico and Serena Graziosi and Francesco Ferrise and Alberto Gallace and Cedric Mosconi and Marie Cazzaniga and Valentino Zurloni and Massimiliano Elia and Francesco Cerritelli and Fabrizia Mantovani and Alessandro D’Ausilio and Pietro Cipresso and Giuseppe Riva and Andrea Gaggioli},
    title={COLLEGO: An Interactive Platform for Studying Joint Action During an Ecological Collaboration Task},
    proceedings={Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015},
    proceedings_a={MINDCARE \& IIOT \& FABULOUS},
    year={2018},
    month={3},
    keywords={Human-human interaction Joint action Synchronization Performance Time-series analysis Sensors},
    doi={10.1007/978-3-319-74935-8_9}
}

Alice Chirico
Serena Graziosi
Francesco Ferrise
Alberto Gallace
Cedric Mosconi
Marie Cazzaniga
Valentino Zurloni
Massimiliano Elia
Francesco Cerritelli
Fabrizia Mantovani
Alessandro D’Ausilio
Pietro Cipresso
Giuseppe Riva
Andrea Gaggioli
Year: 2018
COLLEGO: An Interactive Platform for Studying Joint Action During an Ecological Collaboration Task
MINDCARE & IIOT & FABULOUS
Springer
DOI: 10.1007/978-3-319-74935-8_9

Alice Chirico¹^,*, Serena Graziosi²^,*, Francesco Ferrise²^,*, Alberto Gallace³^,*, Cedric Mosconi³^,*, Marie Cazzaniga³^,*, Valentino Zurloni^,*, Massimiliano Elia⁴^,*, Francesco Cerritelli^,*, Fabrizia Mantovani^,*, Alessandro D’Ausilio⁵^,*, Pietro Cipresso^,*, Giuseppe Riva^,*, Andrea Gaggioli^,*

1: Università Cattolica del Sacro Cuore
2: Politecnico di Milano
3: University of Milano Bicocca
4: University of Milano-Bicocca
5: IIT - Istituto Italiano di Tecnologia - CTNSC@UniFe

*Contact email: alice.chirco@unicatt.it, serena.graziosi@polimi.it, francesco.ferrise@polimi.it, alberto.gallace1@unimib.it, c.mosconi3@campus.unimib.it, m.cazzaniga24@campus.unimib.it, valentino.zurloni@unimib.it, m.elia5@campus.unimib.it, francesco.cerritelli@gmail.com, fabrizia.mantovani@unimib.it, alessandro.dausilio@iit.it, pietro.cipresso@unicatt.it, giuseppe.riva@unicatt.it, andrea.gaggioli@unicatt.it

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.

Keywords: Human-human interaction Joint action Synchronization Performance Time-series analysis Sensors

Published: 2018-03-08
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-74935-8_9