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Exploring the Semantic-Inconsistency Effect in Scenes Using a Continuous Measure of Linguistic-Semantic Similarity.

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Summary
This summary is machine-generated.

Highly consistent and inconsistent objects capture viewer attention more than expected objects. This semantic-inconsistency effect in visual exploration follows a U-shaped relationship, not a simple binary classification.

Keywords:
eye movementslinguistic similarityopen dataopen materialssemantic inconsistenciesvisual attention

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Area of Science:

  • Cognitive Psychology
  • Computer Vision
  • Neuroscience

Background:

  • Human viewers utilize contextual cues for scene exploration and object recognition.
  • Object-scene and object-object relations guide expectations, with semantic inconsistencies capturing attention (semantic-inconsistency effect).
  • Previous research treated semantic inconsistency as binary (consistent/inconsistent).

Purpose of the Study:

  • To investigate the semantic-inconsistency effect in a continuous manner.
  • To explore how linguistic-semantic similarity influences attention to objects within scenes.
  • To determine if the semantic-inconsistency effect is more nuanced than a binary classification.

Main Methods:

  • An eye-tracking experiment was conducted with 21 adult participants.
  • Participants viewed complex scenes with varying degrees of object-scene and object-object semantic consistency.
  • Linguistic-semantic similarity was used to continuously measure object consistency.

Main Results:

  • A U-shaped relationship was observed between semantic consistency and viewing time.
  • Both highly consistent and highly inconsistent objects attracted more viewer attention than moderately consistent objects.
  • The semantic-inconsistency effect demonstrates a continuous, non-binary pattern.

Conclusions:

  • The semantic-inconsistency effect is not a simple binary phenomenon but a continuous one.
  • Viewer attention is modulated by the degree of an object's semantic fit within a scene and its relation to other objects.
  • Findings advance our understanding of visual attention and scene perception.