Conference Proceeding

Spatiotemporal Coordination Supports a Sense of Commitment in Human-Robot Interaction

Details

Citation

Vignolo A, Sciutti A, Rea F & Michael J (2019) Spatiotemporal Coordination Supports a Sense of Commitment in Human-Robot Interaction. In: Salichs MA, Ge SS, Barakova EI, Cabibihan J, Wagner AR, Castro-Gonzalez A & He H (eds.) Social Robotics. ICSR 2019. Lecture Notes in Computer Science, 11876. ICSR 2019: International Conference on Social Robotics, Madrid, Spain, 26.11.2019-29.11.2019. Cham, Switzerland: Springer International Publishing, pp. 34-43. https://doi.org/10.1007/978-3-030-35888-4_4

Abstract
In the current study, we presented participants with videos in which a humanoid robot (iCub) and a human agent were tidying up by moving toys from a table into a container. In the High Coordination condition, the two agents worked together in a coordinated manner, with the human picking up the toys and passing them to the robot. In the Low Coordination condition, they worked in parallel without coordinating. Participants were asked to imagine themselves in the position of the human agent and to respond to a battery of questions to probe the extent to which they felt committed to the joint action. While we did not observe a main effect of our coordination manipulation, the results do reveal that participants who perceived a higher degree of coordination also indicated a greater sense of commitment to the joint action. Moreover, the results show that participants’ sensitivity to the coordination manipulation was contingent on their prior attitudes towards the robot: participants in the High Coordination condition reported a greater sense of commitment than participants in the Low Coordination condition, except among those participants who were a priori least inclined to experience a close sense of relationship with the robot.

Keywords
Cognitive human-robot interaction; Sense of commitment; iCub

StatusPublished
FundersEuropean Commission (Horizon 2020)
Title of seriesLecture Notes in Computer Science
Number in series11876
Publication date31/12/2019
Publication date online17/11/2019
URLhttp://hdl.handle.net/1893/31649
PublisherSpringer International Publishing
Place of publicationCham, Switzerland
ISSN of series0302-9743
ISBN9783030358877
eISBN9783030358884
ConferenceICSR 2019: International Conference on Social Robotics
Conference locationMadrid, Spain
Dates