ReviewTrends in cognitive sciences2019
Affect and Decision Making: Insights and Predictions from Computational Models.
Review in Trends in cognitive sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Revisiting the post-resolution positivity effect in conflict tasks: Meta-analytic and behavioral evidence for context-dependent affective valence of conflict resolution.Psychonomic bulletin & review · 2026Pooled it
- Diffusion model-based understanding of subliminal affective priming in continuous flash suppression.Scientific reports · 2021Trial
- Apathy, effort-based decisions and brain integrity in Alzheimer's and Parkinson's diseases.Brain : a journal of neurology · 2026Article
- The Impact of Top-Down Attention on Emotion Ensemble Perception: Fear-Guided Attention Leads to Cautious Decisions.Affective science · 2025Article
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- Article
- Adult age differences in the integration of values for self and other.Scientific reports · 2025Article
- Risk and Loss Aversion and Attitude to COVID and Vaccines in Anxious Individuals.Computational psychiatry (Cambridge, Mass.) · 2025Article
- Affective integration in experience, judgment, and decision-making.Communications psychology · 2024Review
- The affective gradient hypothesis: an affect-centered account of motivated behavior.Trends in cognitive sciences · 2024Review
- The effect of auditory valence on subsequent visual semantic processing.Psychonomic bulletin & review · 2023Article
- Framing Subjective Emotion Reports as Dynamic Affective Decisions.Affective science · 2023Review
- Face masks influence emotion judgments of facial expressions: a drift-diffusion model.Scientific reports · 2023Article
- Whose emotion is it? Perspective matters to understand brain-body interactions in emotions.NeuroImage · 2023Article
- ERP and attachment dimensions as predictors of seeking care or food comfort in stressful situations.Scientific reports · 2023Article
- Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms.Cognitive, affective & behavioral neuroscience · 2023Article
- Piecing together the puzzle of emotional consciousness.Neuroscience of consciousness · 2023Review
- Time to Pay Attention? Information Search Explains Amplified Framing Effects Under Time Pressure.Psychological science · 2022Article
- Neurocomputational models of altruistic decision-making and social motives: Advances, pitfalls, and future directions.Wiley interdisciplinary reviews. Cognitive science · 2021Review
- Identifying the neural dynamics of category decisions with computational model-based functional magnetic resonance imaging.Psychonomic bulletin & review · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In recent years interest in integrating the affective and decision sciences has skyrocketed. Immense progress has been made, but the complexities of each field, which can multiply when combined, present a significant obstacle. A carefully defined framework for integration is needed. The shift towards computational modeling in decision science provides a powerful basis and a path forward, but one whose synergistic potential will only be fully realized by drawing on the theoretical richness of the affective sciences. Reviewing research using a popular computational model of choice (the drift diffusion model), we discuss how mapping concepts to parameters reduces conceptual ambiguity and reveals novel hypotheses.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.