Intelligent Adaptive Interfaces: Summary Report on Design, Development, and Evaluation of Intelligent Adaptive Interfaces for the Control of Multiple UAVs from an Airborne Platform

Les Interfaces Adaptatives et Intelligentes (Rapport Sommaire sur la Conception, le Développement et l’Évaluation d’Interfaces Intelligentes Adaptatives Permettant de Commander Plusieurs Engins Autopilotés à Partir d’une Plateforme Aéroportée)

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Authors
  1. Hou, M.
  2. Kobierski, R.D.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN);CMC Electronics Inc, Ottawa ONT (CAN)
Abstract
An issue for multi-Uninhabited Air Vehicle (UAV) control is to manage massive information to support effective decision making. Feedback from UAV operators indicates that improvements in operator interfaces would reap significant gains in system performance and effectiveness. Various levels of automation have been suggested to address the problem including Intelligent/Adaptive Interfaces (IAIs) for decision support. Augmenting UAV control stations with automation function groups, IAIs are intended to manage information dynamically and provide the right information to the right people, at the right time, to support effective decision-making. The work reported here is the result of a three-year project conducted by Defence Research and Development Canada that investigated the efficacy of IAIs in a multi-UAV scenario with the IAI 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 automation as reflected in task conflict frequency and task completion time. A prototype IAI experimental environment has been implemented for a human-in-the-loop empirical investigation. Both simulation and experiment results reveal 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 c

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Keywords
mission 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-TR-2006-292 — Technical Report
Date of publication
01 Dec 2006
Number of Pages
88
DSTKIM No
CA030442
CANDIS No
529010
Format(s):
Electronic Document(PDF)

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