Effects of anticipatory action on human-robot teamwork: Efficiency, fluency, and perception of team

By Guy Hoffman, Cynthia Lynn Breazeal. 2007

227 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

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Citations in the corpus

Plan explicability and predictability for robot task planning (2015, background): “While there exists previous work that studied socially acceptable robots [11, 12, 21, 18] that interact with humans in “natural ways”, and work that investigated legible motion planning [6], there lacks a general solution for high level task planning.”
Initiative in robot assistance during collaborative task execution (2016, background): “Preliminary work by Hoffman and Breazeal suggests that anticipatory perceptual simulation improves efficiency and fluency in teamwork [2], [16].”
Human-aware task planning for mobile robots (2009, background): “As noted by Hoffman and Breazeal [17], [18], cooperation between robots and humans can be greatly improved if the robots can predict the actions of the humans.”
Improved human–robot team performance through cross-training, an approach inspired by human team training practices (2015, methodology): “We elicited teamwork ﬂuency by measuring the concurrent motion of the human and robot and human idle time during the task execution phase, as proposed in Hoffman and Breazeal (2007).”
Shared autonomy via hindsight optimization for teleoperation and teaming (2017, background): “user and robot cannot simultaneously use the same object (Hoffman and Breazeal, 2007)).”
How to approach humans?-strategies for social robots to initiate interaction (2009, background): “Hoffman and Breazeal demonstrated the importance of anticipation in a collaborative work context [12].”
Challenges in Shared-Environment Human-Robot Collaboration (2013, background): “Recognizing implicit communication and anticipating the needs or actions of co-workers contributes to fluent collaboration, increasing both the objective and perceived value of the robot [27].”
Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy (2013, unknown): “2 in Section III-B) for comparison purposes.”
Residual Policy Learning for Shared Autonomy (2020, background): “or human-robot teaming, whereby humans and robots operate independently [22, 24] towards a shared goal.”
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “Hoffman and Breazeal (2007) compared teamwork with reactive and proactive robots, where the pro-active robot was programmed to anticipate specific behaviors.”