ArticleeLife2020
Consistent patterns of distractor effects during decision making.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Neural similarity between choice options predicts group-level context effects.Nature communications · 2026Article
- Distractor effect of food stimuli among patients with binge eating behaviour - a narrative review and pilot data.Reviews in endocrine & metabolic disorders · 2026Review
- Early versus late noise differentially enhances or degrades context-dependent choice.Nature communications · 2025Article
- The timescale and direction of influence of a third inferior alternative in human value-learning.Communications psychology · 2025Article
- Article
- Multiattribute Decision-making in Macaques Relies on Direct Attribute Comparisons.Journal of cognitive neuroscience · 2024Article
- Irrational choices via a curvilinear representational geometry for value.Nature communications · 2024Article
- Valuations of target items are drawn towards unavailable decoy items due to prior expectations.PNAS nexus · 2024Article
- Flexible control of representational dynamics in a disinhibition-based model of decision-making.eLife · 2023Article
- Local and global reward learning in the lateral frontal cortex show differential development during human adolescence.PLoS biology · 2023Article
- Intraparietal stimulation disrupts negative distractor effects in human multi-alternative decision-making.eLife · 2023Article
- Article
- Context-dependent choice and evaluation in real-world consumer behavior.Scientific reports · 2022Article
- Divisive normalization is an efficient code for multivariate Pareto-distributed environments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Review
- Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022Review
- Identifying identity and attributing value to attributes: reconsidering mechanisms of preference decisions.Current opinion in behavioral sciences · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The value of a third potential option or distractor can alter the way in which decisions are made between two other options. Two hypotheses have received empirical support: that a high value distractor improves the accuracy with which decisions between two other options are made and that it impairs accuracy. Recently, however, it has been argued that neither observation is replicable. Inspired by neuroimaging data showing that high value distractors have different impacts on prefrontal and parietal regions, we designed a dual route decision-making model that mimics the neural signals of these regions. Here we show in the dual route model and empirical data that both enhancement and impairment effects are robust phenomena but predominate in different parts of the decision space defined by the options' and the distractor's values. However, beyond these constraints, both effects co-exist under similar conditions. Moreover, both effects are robust and observable in six experiments.
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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.