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

Nuclear Engineering and Technology

Young-Ji Byon¹  Jun Su Ha¹  Joonsang Baek¹  Poong Hyun Seong² 

[1] Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, United Arab Emirates;Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea;

关键词: Diagnosis;    Eye tracking;    Monitoring;    Nuclear power plant;    Selective attention;   

DOI  :  10.1016/j.net.2015.09.004

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown