Being Transparent about Transparency: A Model for Human-Robot Interaction

By Joseph B. Lyons. 2013

225 citations recorded by the source corpus.

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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): “These include system transparency (Lyons, 2013; Mercado, Rupp, Chen, Barnes, Barber, and Procci, 2016) and monolithic trust states (Hoffman, 2013; Hoffman, et al., 2013; Balfe, Sharples, and Wilson, 2018; Fallon and Blaha, 2018).”
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, unknown): “In addition to the traditional closed-loop style of communication (McIntyre and Salas 1995) often seen in superior human–human teams, it will also be necessary to communicate system transparency (Chen and Barnes 2015; Lyons 2013).”
Agent Reasoning Transparency’s Effect on Operator Workload (2016, background): “Workload is expected to increase as agent reasoning transparency (ART) increases (Linegang et. al., 2006; Lyons, 2013; Miller, 2014).”
Situation awareness-based agent transparency and human-autonomy teaming effectiveness (2018, background): “…in the human teamwork literature (Cannon-Bowers, Salas, and Converse 1993; DeChurch and Mesmer-Magnus 2010), discussion of these factors in the context of human – agent teams has only recently been receiving increased attention (Hayes and Scassellati 2013; Lyons 2013; Sycara and Sukthankar 2006).”
Designing and implementing transparency for real time inspection of autonomous robots (2017, background): “Thus, it focuses on designing transparent systems able to build trust between the human participants and the robot (Lyons, 2013).”