Engaging robots: easing complex human-robot teamwork using backchanneling

Authors:
Malte F. Jung;Jin Joo Lee;Nick DePalma;Sigurdur O. Adalgeirsson;Pamela J. Hinds;Cynthia Breazeal
Affiliations:
Stanford University, Stanford, California, USA;Massachusetts Institute of Technology, Boston, Massachusetts, USA;Media Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;Stanford University, Stanford, California, USA;Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Venue:
Proceedings of the 2013 conference on Computer supported cooperative work
Year:
2013

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Abstract

People are increasingly working with robots in teams and recent research has focused on how human-robot teams function, but little attention has yet been paid to the role of social signaling behavior in human-robot teams. In a controlled experiment, we examined the role of backchanneling and task complexity on team functioning and perceptions of the robots' engagement and competence. Based on results from 73 participants interacting with autonomous humanoid robots as part of a human-robot team (one participant, one confederate, and three robots), we found that when robots used backchanneling team functioning improved and the robots were seen as more engaged. Ironically, the robots using backchanneling were perceived as less competent than those that did not. Our results suggest that backchanneling plays an important role in human-robot teams and that the design and implementation of robots for human-robot teams may be more effective if backchanneling capability is provided.