Evidence map›Paper›PMID 32958673›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

A map of decoy influence in human multialternative choice.

Tsvetomira Dumbalska, Vickie Li, Konstantinos Tsetsos, Christopher Summerfield

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Is the Whole the Sum of its Parts? Neural Computation of Consumer Bundle Valuation in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Matching provides efficient decisions.bioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. How do (perceptual) distracters distract?PLoS computational biology · 2022
    Article
  19. Review
  20. Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Tsvetomira DumbalskaDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom.ORCID 0000-0002-5761-8536
Vickie LiDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom.ORCID 0000-0002-7934-5137
Konstantinos TsetsosMedical School, Hamburg University, 20457 Hamburg, Germany.ORCID 0000-0003-2709-7634
Christopher SummerfieldDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom; christopher.summerfield@psy.ox.ac.uk.
University of Oxford · GBUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human decisions can be biased by irrelevant information. For example, choices between two preferred alternatives can be swayed by a third option that is inferior or unavailable. Previous work has identified three classic biases, known as the attraction, similarity, and compromise effects, which arise during choices between economic alternatives defined by two attributes. However, the reliability, interrelationship, and computational origin of these three biases have been controversial. Here, a large cohort of human participants made incentive-compatible choices among assets that varied in price and quality. Instead of focusing on the three classic effects, we sampled decoy stimuli exhaustively across bidimensional multiattribute space and constructed a full map of decoy influence on choices between two otherwise preferred target items. Our analysis reveals that the decoy influence map is highly structured even beyond the three classic biases. We identify a very simple model that can fully reproduce the decoy influence map and capture its variability in individual participants. This model reveals that the three decoy effects are not distinct phenomena but are all special cases of a more general principle, by which attribute values are repulsed away from the context provided by rival options. The model helps us understand why the biases are typically correlated across participants and allows us to validate a prediction about their interrelationship. This work helps to clarify the origin of three of the most widely studied biases in human decision-making.

Indexed as

Choice BehaviorCommerceDecision MakingFemaleHumansMaleMotivationcognitionconsumer choicedecision-makinghuman behavior

Identifiers

PMID32958673
PMCPMC7547229
OpenAlexW3087703529

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.