Automatic Affective Processing

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Automatic affective processing
Category=JMP
cognitive bias
emotion theory
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evaluative decision task
evaluative priming
Implicit Association Test
implicit attitudes
Simon effect
social cognition research
stigmatised behaviour
stimulus valence
time course analysis
unconscious affective evaluation

Product details

  • ISBN 9780863776465
  • Weight: 260g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Feb 2001
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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The concepts 'affect', 'valence' and 'attitude' are all fundamentally linked to the basic psychological dimension of good vs bad, positive vs negative, approach vs avoid. Affective processing refers to the act of determining the location of a stimulus on the affective dimension. Over the past few decades, scholars of emotion theory, social psychology, and learning psychology have put forward the hypothesis that affective processing does not depend on controlled cognitive processing. That is, they propose that organisms are able to determine whether a stimulus is good or bad without engaging in intentional, goal-directed, conscious, or capacity-demanding processing of the (evaluative attributes of the) stimulus. Rather, affective processing could occur automatically. Such automatic affective processing was believed to have an important impact on subsequent cognitive processing and behaviour. These proposals led to a multitude of research. New paradigms were developed that allow one to study the conditions under which stimulus valence can be processed and efforts were directed at understanding how such affective processing influences subsequent cognitive processing and behaviour. The aim of this special issue is to provide an overview of some of (a) the paradigms that are available to study automatic affective processing, (b) the knowledge about affective processing that has been gained over the last years, and (c) the issues and questions that are currently being addressed and that will most likely dominate the research in years to come.