Eye tracking studies based on attentional-Resource effectiveness

Jun Su Ha, Young Ji Byon, Chung Suk Cho, Seongkeun Kang, Poong Hyun Seong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the majority of cases, the primary means of information input to operators in nuclear power plants (NPPs) control rooms is through the visual channel. In this study, eye movement patterns of NPP operators are analyzed with eye tracking data obtained from simulator-based experimental studies. Two eye tracking measures of attentional-resource effectiveness in monitoring and detection tasks in NPPs which had been developed by the authors are introduced and several applications with the two eye tracking measures are discussed for the use of the measures. 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 effectiveness on an information source, whereas the SAE represents the overall effectiveness on all information sources. Frequency and the duration of eye fixations of an operator on information sources are used as attentional resource. Finally feasible future applications with eye tracking data were discussed in terms of plant systems automation and operator training.

Original languageBritish English
Title of host publication10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
Pages1557-1567
Number of pages11
ISBN (Electronic)9781510851160
StatePublished - 2017
Event10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017 - San Francisco, United States
Duration: 11 Jun 201715 Jun 2017

Publication series

Name10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
Volume3

Conference

Conference10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017
Country/TerritoryUnited States
CitySan Francisco
Period11/06/1715/06/17

Keywords

  • Diagnosis
  • Eye tracking
  • Information searching
  • Monitoring
  • Situation awareness

Fingerprint

Dive into the research topics of 'Eye tracking studies based on attentional-Resource effectiveness'. Together they form a unique fingerprint.

Cite this