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Related Experiment Video

Updated: May 17, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

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The effect of object-valence relations on automatic evaluation.

Tal Moran1, Yoav Bar-Anan

  • 1Psychology Department, Ben-Gurion University of the Negev, Be'er Sheva, Israel. tmo@post.bgu.ac.il

Cognition & Emotion
|October 18, 2012
PubMed
Summary
This summary is machine-generated.

Automatic evaluation is influenced by stimulus co-occurrence over relational meaning. Deliberate judgments reflect relational information more strongly, supporting the associative-propositional evaluation model.

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Area of Science:

  • Cognitive Psychology
  • Social Psychology

Background:

  • Automatic evaluation processes are crucial for rapid decision-making.
  • Understanding how relational information influences automatic versus deliberate evaluations is key.

Purpose of the Study:

  • To investigate the impact of co-occurrence versus relational valence on automatic target evaluation.
  • To examine the differential influence of relational information on automatic and deliberate judgments.

Main Methods:

  • Two experiments utilized evaluative conditioning paradigms.
  • Participants learned associations between neutral targets and affective stimuli (unpleasant noise vs. pleasant music).
  • Automatic evaluations (e.g., implicit measures) and deliberate preferences were assessed.

Main Results:

  • Participants consciously preferred targets associated with unpleasant stimuli over those with pleasant stimuli.
  • Automatic evaluation measures showed the opposite preference, favoring targets linked to pleasant stimuli.
  • This indicates automatic evaluation prioritizes co-occurrence over explicit relational meaning.

Conclusions:

  • Automatic evaluation is more sensitive to stimulus co-occurrence than to their semantic relationship.
  • Relational information exerts a stronger influence on deliberate judgments than on automatic evaluations.
  • Findings support the associative-propositional evaluation model and highlight the role of relational information in evaluative conditioning.