Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues

By Jessie Y.C. Chen, Michael J. Barnes. IEEE Transactions on Human-Machine Systems, 2014

485 citations recorded by the source corpus.

Subfields: Radiological and Ultrasound Technology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/96814bf9ff1394dbf9d54832d028fe770653eb35

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Citations in the corpus

Situation Awareness-Based Agent Transparency (2014, unknown): “…theory of SA (Endsley, 1995), the Beliefs, Desires, Intentions (BDI) Agent Framework (Rao and Georgeff, 1995), Lee’s 3Ps described previously (Lee, 2012), and other relevant previous work (Chen and Barnes, 2012a, 2012b; Chen and Barnes, 2014; Cring and Lenfestey, 2009; Lyons and Havig, in press).”
Situation awareness-based agent transparency and human-autonomy teaming effectiveness (2018, background): “At the highest levels of mixed-initiative interaction, the agent actively monitors the current task and uses information it has about its capabilities, the human ’ s capabilities, and the other demands on its resources to evaluate whether it should take initiative (Allen, Guinn, and Horvtz 1999).”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, background): “…tool to detect hazards, a pilot supervising the auto-pilot of a plane, a driver interacting with the automated driving capabilities of a car, or an operator supervising multiple unmanned vehicles or interacting with a robot leader that in turn supervises other agents (e.g., Chen and Barnes, 2014).”
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “Higher machine intelligence means more complex technological abilities, which allow AI to produce more autonomous and complex actions (Chen & Barnes, 2014; Hancock, Billings, Schaefer, Chen, De Visser, & Parasuraman, 2011).”
A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “…dangerous, and dull conditions, in which there is almost a necessary degradation of human efficiency due to factors such as fatigue, workload, stress, distraction, and so on (Chen & Barnes, 2014; Defense Science Board, 2012; Hancock, 2013; Hancock, Desmond, & Matthews, 2012; Hancock & Warm, 1989).”
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, unknown): “…in various forms in research investigating the eff ectiveness of human–machine teams (Ahmed et al. 2014; Bagosi, Hindriks, and Neerincx 2016; Chen and Barnes 2014; Gao, Cummings, and Solovey 2014, 2016; de Gr eeff et al. 2015; McKendrick et al. 2013; de Visser and Parasuraman 2011; de…”
Teaming With a Synthetic Teammate: Insights into Human-Autonomy Teaming (2018, background): “Chen and Barnes (2014) present a comprehensive review of issues pertaining to human-automation interaction and human-agent teaming in the context of robotics.”
Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management (2016, background): “Multirobot management by humans working with IAs is not without issues (Chen & Barnes, 2014).”