By Topic

Attentional-Resource Effectiveness Measures in Monitoring and Detection Tasks in Nuclear Power Plants

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jun Su Ha ; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea ; Poong Hyun Seong

Two measures of attentional-resource effectiveness in monitoring and detection tasks in nuclear power plants are developed based on cost-benefit principle and are validated in experimental studies. The underlying principle of the measures is that information sources should be selectively attended according to their importance. One of the two measures is the fixation to importance ratio (FIR), which represents attentional resource (eye fixations) spent on an information source compared to the importance of the information source. The other measure is selective attention effectiveness (SAE), which incorporates the FIRs of all information sources. The FIR represents the specific effectiveness of an information source, whereas the SAE represents the overall effectiveness of all information sources. Frequency and the duration of eye fixations of an operator on information sources are used as attentional resource. The analytic hierarchy process was used to evaluate the importance of information sources. Experiments were conducted to validate the proposed measure. From the results of the experiments, the FIR and the SAE are concluded to be promising measures of effectiveness in monitoring and detection during complex diagnostic tasks.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans  (Volume:40 ,  Issue: 5 )