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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Argall, B.D., Chernova, S., Veloso, M., Browning, B.: A survey of robot learning from demonstration. Robot. Auton. Syst. 57(5), 469–483 (2009)
Breazeal, C., Brooks, A., Gray, J., Hoffman, G., Kidd, C., Lee, H.: Humanoid robots as cooperative partners for people. J. Hum. Robot. 1, 34 (2004)
Cakmak, M., Thomaz, A.L.: Designing robot learners that ask good questions. In: Proceedings of the Seventh Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2012, pp. 17–24. ACM, New York (2012). https://doi.org/10.1145/2157689.2157693
Clodic, A., Cao, H., Alili, S., Montreuil, V., Alami, R., Chatila, R.: SHARY: a supervision system adapted to human-robot interaction. In: Khatib, O., Kumar, V., Pappas, G.J. (eds.) Experimental Robotics, vol. 54, pp. 229–38. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00196-3_27
Fischer, K., Weigelin, H., Bodenhagen, L.: Increasing trust in human-robot medical interactions: effects of transparency and adaptability. Paladyn J. Behav. Robot. 9(1), 95–109 (2018)
Grigore, E., Eder, K., Pipe, A., Melhuish, C., Leonards, U.: Joint action understanding improves robot-to-human object handover. IEEE/RSJ International Conference on Intelligent Robots and Systems,pp. 4622–9 (2013)
Iqbal, T., Rack, S., Riek, L.D.: Movement coordination in human - robot teams: a dynamical system approach. IEEE Trans. Robot. 34, 909–919 (2016)
Lenz, C., Nair, S., Rickert, M., Knoll, A., Rosel, W., Gast, J.: Joint-action for humans and industrial robots for assembly tasks, pp. 130–135. IEEE (2008)
Metta, G., et al.: The iCub humanoid robot: an open-systems platform for research in cognitive development. Neural Netw. 23(8–9), 1125–1134 (2010)
Michael, J., Powell, H.: Feeling committed to a robot: why, what, when, and how? Philos. Trans. R. Soc. B: Biol. Sci. 374(1771), 20180039 (2019)
Michael, J., Salice, A.: The sense of commitment in human-robot interaction. Int. J. Soc. Robot. 9(5), 755–63 (2017)
Michael, J., Sebanz, N., Knoblich, G.: Observing joint action: coordination creates commitment. Cognition 157, 106–113 (2016)
Michael, J., Sebanz, N., Knoblich, G.: The sense of commitment: a minimal approach. Front. Psychol. 6, 1968 (2016)
Rea, F., Vignolo, A., Sciutti, A., Noceti, N.: Human motion understanding for selecting action timing in collaborative human-robot interaction. Front. Robot. AI 6, 58 (2019)
Sciutti, A., Bisio, A., Nori, F., Metta, G., Fadiga, L., Pozzo, T.: Measuring human-robot interaction through motor resonance. Int. J. Soc. Robot. 4(3), 223–34 (2012)
Sciutti, A., Mara, M., Tagliasco, V., Sandini, G.: Humanizing human-robot interaction: on the importance of mutual understanding. IEEE Technol. Soc. Mag. 37(1), 22–29 (2018)
Vignolo, A., Powell, H., McEllin, L., Rea, F., Sciutti, A., Michael, J.: An adaptive robot teacher boosts a human partner’s learning performance in joint action. In: The 28th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2019), New Delhi, India (2019)
Vignolo, A., Noceti, N., Rea, F., Sciutti, A., Odone, F., Sandini, G.: Detecting biological motion for human-robot interaction: a link between perception and action. Front. Robot. AI 4, 14 (2017)
Woosnam, K.M.: The inclusion of other in the self (IOS) scale. Ann. Tour. Res. 37, 857–60 (2010)
Acknowledgment
This research was supported by a Starting Grant from the European Research Council (nr. 679092, SENSE OF COMMITMENT).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Vignolo, A., Sciutti, A., Rea, F., Michael, J. (2019). Spatiotemporal Coordination Supports a Sense of Commitment in Human-Robot Interaction. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-35888-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35887-7
Online ISBN: 978-3-030-35888-4
eBook Packages: Computer ScienceComputer Science (R0)