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Counterfactual thinking.
Abstract
Counterfactuals are mental representations of alternatives to the past and produce consequences that are both beneficial and aversive to the individual. These apparently contradictory effects are integrated in a functionalist model of counterfactual thinking. The author reviews research in support of the assertions that (a) counterfactual thinking is activated automatically in response to negative affect, (b) the content of counterfactuals targets particularly likely causes of misfortune, (c) counterfactuals produce negative affective consequences through a contrast-effect mechanism and positive inferential consequences through a causal-inference mechanism, and (d) the net effect of counterfactual thinking is beneficial.
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“Labaien et al. generate contrastive explanations for time-series data [141].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [141]
In the citing paper
“On the one hand, visual explanations for non-visual input data (i.e., datasets containing continuous or categorical featurevalue pairs) plot feature-value pair dependencies [134], [141], [142].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [141]
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Metadata
- Authors
- Roese, N. J.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Roese, Neal J.
- ORCID
- Roese, Neal J.
- Venue
- Psychological Bulletin
- Published
- 1997
- Volume
- 121
- Issue
- 1
- Pages
- 133-148
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W4246855866
- Cited by
- 1,156
- References
- 0
- Citations by year
- 2026: 50 · 2025: 58 · 2024: 87 · 2023: 56 · 2022: 73 · 2021: 59 · 2020: 71 · 2019: 34 · 2018: 62 · 2017: 57 · 2016: 53 · 2015: 48 · 2014: 40 · 2013: 38 · 2012: 38
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- counterfactual reasoning, counterfactuals, negative affect, contrast effects, causal inference, misfortune, functionalism
- MeSH terms
- Anger, Depression, Humans, Internal-External Control, Motivation, Problem Solving, Social Perception, Thinking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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