Context Effect
Context effects, the influence of surrounding information on perception and judgment, are a central focus in various fields, from cognitive science and neuroscience to machine learning. Current research investigates how context impacts human and artificial intelligence decision-making, exploring phenomena like order bias and the role of proximal versus distal cues in perception, often employing computational models and deep learning techniques to analyze neural representations and predict behavior. Understanding and mitigating context bias is crucial for developing robust and reliable AI systems and for advancing our understanding of human cognition, particularly in areas like emotion recognition and personalized recommendations.
Papers
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