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Published in: International Journal of Social Robotics 4/2020

07-12-2018

Multiple Communication Roles in Human–Robot Interactions in Public Space

Authors: Leopoldina Fortunati, Filippo Cavallo, Mauro Sarrica

Published in: International Journal of Social Robotics | Issue 4/2020

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Abstract

This study looks at robots as media and aims to explore the multiple communication roles that they can play in public space. We have analyzed three scenarios: European Researchers’ Night in Pisa; the inauguration of the University of Udine’s 39th academic year; and the official video of the inauguration in Udine. These three scenarios represent three types of media interactions. The first is a human–robot interaction based on a one-to-one or circular communication model; the second is a robot–human interaction based on a one-to-many communication model in-presence; and the third is a robot–human interaction, based on the classical one-to-many communication model mediated through a television screen. Results show that public patterns of behavior toward the robot tend to replicate the ritualization of encounters between humans in the one-to-one model, and audience rituals in public events toward human characters in the one-to-many model. Second, greater proximity and familiarity with the robot increases the respondents’ positive evaluations of all the aspects of the interactions. These results are in line with results coming from research on Information and Communication Technologies (ICT) use.

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Footnotes
1
An early version of this study was presented at the conference Foritaal (Italian Forum 2017: Ambient Assisted Living) 14–15 June 2017, Genova.
 
2
Standardized residuals have been considered in the interpretation of significant differences across conditions in contingency tables (i.e. s.r. > |2|).
 
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Metadata
Title
Multiple Communication Roles in Human–Robot Interactions in Public Space
Authors
Leopoldina Fortunati
Filippo Cavallo
Mauro Sarrica
Publication date
07-12-2018
Publisher
Springer Netherlands
Published in
International Journal of Social Robotics / Issue 4/2020
Print ISSN: 1875-4791
Electronic ISSN: 1875-4805
DOI
https://doi.org/10.1007/s12369-018-0509-0

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