Untangling Operator Monitoring Approaches when Designing Intelligent Adaptive Systems for Operational Environments

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Authors
  1. Hou, M.
  2. Fidopiastis, C.M.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN);University of Alabama at Birmingham, Birmingham AL (US)
Abstract
An Intelligent Adaptive System (IAS) is a synergy between an intelligent interface and adaptive automation technologies capable of context sensitive interaction with operators. A well-designed IAS should enable flexible task allocation between the operator and the machine. Research suggests that the integration of real-time operator state assessment (e.g., performance, psychophysiology) can create a true ‘human-in-the-loop’ system, thereby minimizing deleterious performance effects such as overlooking automation failures and slowly reorienting to tasks. However, these research approaches apply a variety of methodologies to determine sensors, metrics, and overall system design when applied to real world tasks. This paper seeks to untangle these issues such that a more comprehensive framework for systematically evaluating the utility of cognitive state detection methods is attainable.
Keywords
Intelligent Monitoring Systems;adaptive automation;augmented cognition;psychophysiological measures;cognitive state
Report Number
DRDC-RDDC-2014-P147 — External Literature
Date of publication
25 Jan 2017
Number of Pages
10
DSTKIM No
CA044506
CANDIS No
804910
Format(s):
Electronic Document(PDF)

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