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Author Xiaoli Wu, Yiqun Li, Yuqi He, Zexi Fang |
| Abstract This study tackles the cognitive bias caused by high similarity among information chunks in nuclear power monitoring systems. A cognitive model was constructed to identify perceptual similarity as the key factor affecting operator cognition. Behavioral experiments using visual search and situational tasks were conducted to quantify chunk similarity and determine the optimal similarity range. Results show that perceptual similarity has a significantly greater impact than semantic similarity. An equation for calculating overall perceptual similarity based on color, layout, and complexity was developed. The optimal similarity value range (T0'' ∈ [4.624, 5.538]) was identified, enhancing interface recognizability and cognitive performance. This study proposes a similarity bias effect paradigm for visual tasks, providing a theoretical basis and empirical support for improving nuclear power monitoring interface design. |
