Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles

2000 ◽  
Vol 12 (6) ◽  
pp. 628-639 ◽  
Author(s):  
S. Narayanan ◽  
◽  
Heath A. Ruff ◽  
Narasimha Rao Edala ◽  
Jonathan A. Geist ◽  
...  

Uninhabited aerial vehicles are aircraft without the onboard presence of pilot or aircrew. Even though the human is removed from the direct control of the aircraft, the human is typically involved in the process as a supervisor in a multiple task telerobotics control system. The supervisor must receive the appropriate information for efficient decision making and input the information required to augment the autonomous control of the vehicle as necessary. This article presents an approach that applies human operator modeling methods to perform semiotic analysis and identifies the content and form of the information required for effective supervisory control. This paper also outlines a computational modeling and simulation architecture that supports concurrent multi-user connectivity and reconfigurable user interfaces. The potential utilization of this architecture to systematically evaluate interface concepts and the role of automation in these systems is also described. Finally, an empirical evaluation is described that benchmarks the effectiveness of the architecture.Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles.

Author(s):  
Aya Hussein ◽  
Sondoss Elsawah ◽  
Hussein A. Abbass

Objective This work aims to further test the theory that trust mediates the interdependency between automation reliability and the rate of human reliance on automation. Background Human trust in automation has been the focus of many research studies. Theoretically, trust has been proposed to impact human reliance on automation by mediating the relationship between automation reliability and the rate of human reliance. Experimentally, however, the results are contradicting as some confirm the mediating role of trust, whereas others deny it. Hence, it is important to experimentally reinvestigate this role of trust and understand how the results should be interpreted in the light of existing theory. Method Thirty-two subjects supervised a swarm of unmanned aerial vehicles (UAVs) in foraging missions in which the swarm provided recommendations on whether or not to collect potential targets, based on the information sensed by the UAVs. By manipulating the reliability of the recommendations, we observed changes in participants’ trust and their behavioral responses. Results A within-subject mediation analysis revealed a significant mediation role of trust in the relationship between swarm reliability and reliance rate. High swarm reliability increased the rate of correct acceptances, but decreased the rate of correct rejections. No significant effect of reliability was found on response time. Conclusion Trust is not a mere by-product of the interaction; it possesses a predictive power to estimate the level of reliance on automation. Application The mediation role of trust confirms the significance of trust calibration in determining the appropriate level of reliance on swarm automation.


2006 ◽  
Vol 33 (11) ◽  
pp. 3252-3269 ◽  
Author(s):  
Tal Shima ◽  
Steven J. Rasmussen ◽  
Andrew G. Sparks ◽  
Kevin M. Passino

2001 ◽  
Author(s):  
Jesse Lucas ◽  
Jennie Gallimore ◽  
S. Narayanan

Author(s):  
Salim A. Mouloua ◽  
James Ferraro ◽  
Mustapha Mouloua ◽  
P.A. Hancock

The present study was designed to examine the research trends in the literature focusing on Human Factors issues relevant to Unmanned Aerial Vehicle (UAV) systems. As these UAV technologies continue to proliferate with increasing autonomy and supervisory control requirements, it is crucial to evaluate the current and emerging research trends across the generations. This paper reviews the research trends of 228 papers matching our search criteria. The search retained only relevant and complete papers published over the past thirty years (1988-2017) in the Proceedings of the Human Factors and Ergonomics Society. Results were tabulated, graphed, and discussed based on research categories, topic areas, authors’ affiliation, and sources of funding. Results showed a substantial increase in the number of articles in the last two decades, with most papers driven by academic institutions and military and government agencies.


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