How Robot Verbal Feedback Can Improve Team Performance in Human-Robot Task Collaborations
By Aaron St. Clair, Maja J. Mataric. 2015
98 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Julie Arnold Shah
- Bradley Hayes
- Przemyslaw A. Lasota
- T. Fong
- Rajesh P. N. Rao
- Leah Perlmutter
- Eric Kernfeld
- Maya Cakmak
In Social Psychology
- Julie Arnold Shah
- Przemyslaw A. Lasota
- Bradley Hayes
- T. Fong
- Minoru Asada
- Maya Cakmak
- Guy Hoffman
- Maja J. Mataric
Citations in the corpus
- Improving Robot Controller Transparency Through Autonomous Policy Explanation (2017, background): “Even modern systems that provide targeted, useful information about their controllers typically require manual, task-specific annotation in order to do so [38], indicating a technical gap in general methods for automating this explanatory process.”
- A Survey of Methods for Safe Human-Robot Interaction (2017, background): “Clair and Mataric (2015), for example, verbal feedback from the robot was provided while coordinating a joint activity between a human and robot.”
- Initiative in robot assistance during collaborative task execution (2016, background): “Clair and Mataric demonstrated that robot verbal feedback improves team performance [12].”
- Situated Language Understanding with Human-like and Visualization-Based Transparency (2016, background): “Several others have shown positive effects of transparency mechanisms in HRI contexts [27, 32].”