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.
| Original language | British English |
|---|---|
| Pages (from-to) | 129-143 |
| Number of pages | 15 |
| Journal | Nuclear Engineering and Technology |
| Volume | 48 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2016 |
Keywords
- Diagnosis
- Eye tracking
- Monitoring
- Nuclear power plant
- Selective attention