Original Article
Method for Inference of Operators' Thoughts from Eye Movement Data in Nuclear Power Plants

https://doi.org/10.1016/j.net.2015.09.004Get rights and content
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Abstract

Sometimes, we need or try to figure out somebody's thoughts from his or her behaviors such as eye movement, facial expression, gestures, and motions. In safety-critical and complex systems such as nuclear power plants, the inference of operators' thoughts (understanding or diagnosis of a current situation) might provide a lot of opportunities for useful applications, such as development of an improved operator training program, a new type of operator support system, and human performance measures for human factor validation. In this experimental study, a novel method for inference of an operator's thoughts from his or her eye movement data is proposed and evaluated with a nuclear power plant simulator. In the experiments, about 80% of operators' thoughts can be inferred correctly using the proposed method.

Keywords

Diagnosis
Eye tracking
Monitoring
Nuclear power plant
Selective attention

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