Evidence map›Paper›PMID 37264004›Full record

ArticleNature communications2023

Inefficient prioritization of task-relevant attributes during instrumental information demand.

Isabella Rischall, Laura Hunter, Greg Jensen, Jacqueline Gottlieb

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Neural Representations of Sensory Uncertainty and Confidence Are Associated with Perceptual Curiosity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Isabella Rischall *Department of Neuroscience, Columbia University, New York, NY, USA.
Laura Hunter *Department of Neuroscience, Columbia University, New York, NY, USA.
Greg JensenDepartment of Neuroscience, Columbia University, New York, NY, USA.
Jacqueline GottliebDepartment of Neuroscience, Columbia University, New York, NY, USA. jg2141@columbia.edu.ORCID 0000-0001-6507-4375
Columbia University · USReed College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In natural settings, people evaluate complex multi-attribute situations and decide which attribute to request information about. Little is known about how people make this selection and specifically, how they identify individual observations that best predict the value of a multi-attribute situation. Here show that, in a simple task of information demand, participants inefficiently query attributes that have high individual value but are relatively uninformative about a total payoff. This inefficiency is robust in two instrumental conditions in which gathering less informative observations leads to significantly lower rewards. Across individuals, variations in the sensitivity to informativeness is associated with personality metrics, showing negative associations with extraversion and thrill seeking and positive associations with stress tolerance and need for cognition. Thus, people select informative queries using sub-optimal strategies that are associated with personality traits and influence consequential choices.

Indexed as

CognitionPersonalityHumansReward

Identifiers

PMID37264004
PMCPMC10235048
OpenAlexW4378981737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.