Autonomy and Common Ground in Human-robot Interaction
By Kristen Stubbs, Pamela J. Hinds, David S. Wettergreen
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Joyce Yue Chai
- Changsong Liu
- Rui Fang
- Lanbo She
- Joseph DelPreto
- Lindsay M. Sanneman
- J. Lipton
- Christopher K. Fourie
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…2012; Metoyer et al., 2010; Mnih et al., 2015; Moulin et al., 2002; Rosenthal, Selvaraj, and Veloso, 2016; S. Singh, Lewis, Barto, and Sorg, 2010; Stubbs, Hinds, and Wettergreen, 2007; Van Lent, Fisher, and Mancuso, 2004; Zahavy, Ben-Zrihem, and Mannor, 2016; Zhang et al., 2016; Zhou, Khosla,…”
- Helping Robots Learn: A Human-Robot Master-Apprentice Model Using Demonstrations via Virtual Reality Teleoperation (2020, background): “Increasing levels of automation can also impact users’ ability to form shared mental models and not miss contextual information [42].”
- Collaborative Effort towards Common Ground in Situated Human-Robot Dialogue (2014, background): “The notion of common ground and communication grounding have been investigated extensively from human-human communication [5,10], to computational models for spoken dialogue systems [30], and more recently to human-robot interaction [12,18,27,28].”