Intelligent Adaptive Interfaces for the Control of Multiple UAVs

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

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Authors
  1. Hou, M.
  2. Kobierski, R.D.
  3. Brown, M.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN)
Abstract
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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Keywords
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
35
DSTKIM No
CA033353
CANDIS No
532699
Format(s):
Electronic Document(PDF)

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