How the wisdom of crowds, and of the crowd within, are affected by expertise.


Journal

Cognitive research: principles and implications
ISSN: 2365-7464
Titre abrégé: Cogn Res Princ Implic
Pays: England
ID NLM: 101697632

Informations de publication

Date de publication:
05 02 2021
Historique:
received: 01 12 2019
accepted: 12 01 2021
entrez: 5 2 2021
pubmed: 6 2 2021
medline: 26 10 2021
Statut: epublish

Résumé

We investigated the effect of expertise on the wisdom of crowds. Participants completed 60 trials of a numerical estimation task, during which they saw 50-100 asterisks and were asked to estimate how many stars they had just seen. Experiment 1 established that both inner- and outer-crowd wisdom extended to our novel task: Single responses alone were less accurate than responses aggregated across a single participant (showing inner-crowd wisdom) and responses aggregated across different participants were even more accurate (showing outer-crowd wisdom). In Experiment 2, prior to beginning the critical trials, participants did 12 practice trials with feedback, which greatly increased their accuracy. There was a benefit of outer-crowd wisdom relative to a single estimate. There was no inner-crowd wisdom effect, however; with high accuracy came highly restricted variance, and aggregating insufficiently varying responses is not beneficial. Our data suggest that experts give almost the same answer every time they are asked and so they should consult the outer crowd rather than solicit multiple estimates from themselves.

Identifiants

pubmed: 33544255
doi: 10.1186/s41235-021-00273-6
pii: 10.1186/s41235-021-00273-6
pmc: PMC7865038
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5

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Auteurs

Joshua L Fiechter (JL)

Department of Psychology, Williams College, 25 Stetson Ct., Williamstown, MA, 01267, USA. josh.fiechter@gmail.com.

Nate Kornell (N)

Department of Psychology, Williams College, 25 Stetson Ct., Williamstown, MA, 01267, USA.

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Classifications MeSH