Intelligent Adaptive Interfaces for the Control of Multiple UAVs

Interfaces Opérateur Adaptatives et Intelligentes pour la Commande de Plusiers Engines Télépilotés


  1. Hou, M.
  2. Kobierski, R.D.
  3. Brown, M.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN)
A lack of guidance on designing complex, dynamic, and networked systems presents a challenge to the design of such systems to maximize overall human-machine system performance. An intelligent adaptive interface (IAI) concept and associated technologies have been developed to address this problem. In order to support effective decision-making, a typical IAI is driven by software agents (automation) that can change the display and /or control characteristics of human-machine system to adaptively react to the changes of mission and operator states in real time. This work is the result of a three-year project conducted by Defence Research & Development Canada on the efficacy of IAIs in a multi-UAV scenario. The IAI was modelled as part of the UAV tactical workstations found in a Maritime patrol aircraft. A performance model was developed to compare the difference in mission activities with and without IAI agents as reflected in task conflict frequency and task completion time. A prototype IAI environment was implemented for a human-in-the-loop empirical investigation. Both simulation and experiment results showed that the control of multiple UAVs is a cognitively complex task with high workload. With the augmentation of automation agents, IAIs facilitated a significant reduction in workload and an improvement in situation awareness. Operators could continue working under high time pressure, with critical tasks being achieved in reduced time compared to conventional interfaces

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mssion analysis;task analysis;function analysis;goal analysis;hierarchical goal analysis;perception control theory;performance modeling;network modeling, integrated performance modeling environment;UAV control;airborne platform;operator interface;adaptive interface, intelligent interface;intelligent adaptive interface;intelligent agent;software agent;human-in-the-loop experiment;interface design guidance;interface design principles;operator-automation interaction;measure of effectiveness;measure of performance
Report Number
DRDC-TORONTO-SL-2007-078 — Scientific Literature
Date of publication
01 Sep 2007
Number of Pages
Electronic Document(PDF)

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