Full citation
Hart, J., Gleeson, B.T., Pan, M., Moon, A., MacLean, K.M., and Croft, E., “Gesture, Gaze, Touch, and Hesitation: Timing Cues for Collaborative Work,” in ACM/IEEE Int'l Conf on Human-Robot Interaction (HRI '14) - Workshop on Timing in Human-Robot Interaction, 2014, pp. 6 pages.
Abstract
When multiple agents interact in order to perform a collaborative
task, conflicts will arise over access to shared resources
or when one agent’s ability to act relies on the actions of another
agent. In such cases, even perfectly cooperative agents
will encounter problems due to imperfect knowledge of each
other’s behavior, requiring them to communicate with each
other. The CHARM project seeks to develop robot assistants
which work alongside human workers in a manufacturing
environment. Towards this goal, we have studied
nonverbal cues for timing coordination between human collaborators.
We have modeled these cues for use with robots
and software systems and validated them through humanrobot
interaction studies. This paper provides an overview
of these studies, as well as a high-level description of a system
currently under development which is intended to allow
a robot to model the time required for individual human
workers to complete the tasks to which they are assigned
and to adapt its timing and work pace to match that of its
human collaborators.
task, conflicts will arise over access to shared resources
or when one agent’s ability to act relies on the actions of another
agent. In such cases, even perfectly cooperative agents
will encounter problems due to imperfect knowledge of each
other’s behavior, requiring them to communicate with each
other. The CHARM project seeks to develop robot assistants
which work alongside human workers in a manufacturing
environment. Towards this goal, we have studied
nonverbal cues for timing coordination between human collaborators.
We have modeled these cues for use with robots
and software systems and validated them through humanrobot
interaction studies. This paper provides an overview
of these studies, as well as a high-level description of a system
currently under development which is intended to allow
a robot to model the time required for individual human
workers to complete the tasks to which they are assigned
and to adapt its timing and work pace to match that of its
human collaborators.
SPIN Authors
Year Published
2014