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Cited by 359

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

The Ecology of Automaticity: Toward Establishing the Conditions Needed to Produce Automatic Processing Effects

Bargh, John A.·1992·The American Journal of Psychology

Abstract

In the past 15 years, the single term automatic has been applied to a diversity of laboratory phenomena that differ as to the preconditions necessary for their occurrence. Several major strains of automaticity are distinguished, based on the experimental conditions under which they are obtained: preconscious automatic processes, requiring only the proximal stimulus event; postconscious automatic processes, similar to preconscious effects but needing a recent activation or "priming" event for their operation; and goal-dependent automatic processes, which occur only when a specific, intentional processing goal is in place. It is argued that to more accurately specify the conditions under which an automatic effect will occur in the natural environment, greater attention needs to be given to aspects of the experimental paradigm (e.g., subjects' task goal, questionnaire administrations, previous tasks) that might be necessary to produce the effect.

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Metadata

Authors
Bargh, J. A.
Venue
The American Journal of Psychology
Published
1992
Volume
105
Issue
2
Pages
181
ISSN
0002-9556 (ISSN-L)
OpenAlex
W2313752491
Cited by
359
References
51
FWCI
2.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Ecology of Automaticity: Toward Establishing the Conditions Needed to Produce Automatic Processing Effects. https://app.cochat.ai/papers/10.2307/1423027
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Bargh, J. A. (1992). The Ecology of Automaticity: Toward Establishing the Conditions Needed to Produce Automatic Processing Effects. The American Journal of Psychology. https://doi.org/10.2307/1423027

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.