Autonomy and Common Ground in Human-Robot Interaction: A Field Study

By Kristen Stubbs, David S. Wettergreen, Pamela J. Hinds. 2007

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Improving Robot Controller Transparency Through Autonomous Policy Explanation (2017, positive): “Study results have indicated that achieving comprehension of control logic leads to improved team performance [46, 28, 39] and prevention of automation abuse [30].”
Situation awareness-based agent transparency and human-autonomy teaming effectiveness (2018, background): “…projection – the SAT model describes the information that agents need to convey about their decision-making process in order to facilitate the shared understanding required to perform effective human – agent teamwork (Chen et al. 2014; Stubbs, Wettergreen, and Hinds 2007; Sycara & Sukthankar 2006).”
Situated Language Understanding with Human-like and Visualization-Based Transparency (2016, background): “Researchers have also demonstrated that mental model discrepancies can lead to interaction challenges [33].”
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “…of al-gorithm transparency for cognitive trust, the existing research on the role of transparency for trust in robotic AI is very limited and mostly relates to robots that work in remote locations, focusing on the need for shared awareness (Chen & Barnes, 2014; Stubbs, Wettergreen, & Hinds, 2007).”