Evidence map›Paper›PMID 39172802›Full record

ArticlePloS one2024

Beyond broad and narrow: Intermediate level traits in the personality of bridge players.

Camille Sauvain, Véronique Ventos, Jérôme Sackur

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Camille SauvainLaboratoire de Sciences Cognitives et Psycholinguistique (CNRS / ENS / EHESS), Paris, France.ORCID 0000-0001-6753-4240
Véronique VentosNukkAI, Paris, France.
Jérôme SackurLaboratoire de Sciences Cognitives et Psycholinguistique (CNRS / ENS / EHESS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Games offer a unique context for studying human behavior within the realm of social interactions, where a crucial aspect is the role of personality. The personality of individuals is often conceptualized as divided between general traits (broad traits) that are difficult to apply to specific situations and highly specific traits (narrow traits) that only offer a partial depiction of contextual aspects. In this study, we propose an intermediary level of traits revealed through self-ratings (as broad traits), but defined with respect to a particular game context (as narrow traits). We focus on the popular game of Bridge, which is complex and similar to real-life interactions involving incomplete information, adversarial and cooperative concerns, and communication between players. Using a multidimensional analysis of a new 66-item Bridge Inventory survey completed by 1,300 players, we identified five factors (Aggressiveness, Discipline, Creativity, Emotionality, and Experience) that were meaningfully correlated with broad traits of the Five Factor Model (FFM), supporting their validity. Based on these game-related traits, we identified three types of Bridge players: Conventional, Measured, and Subversive and demonstrated the limitations of FFM traits in capturing nuances of player types. The results of our study highlight a discrepancy between broad, context-independent personality traits and narrow, game-specific traits. We propose that this gap can be bridged through self-ratings, revealing a set of intermediate-level, context-dependent traits, which are expected to better encompass interindividual variability in the context of social interactions.

Indexed as

PersonalityAdolescentAdultFemaleHumansMaleMiddle AgedPersonality InventorySurveys and QuestionnairesYoung Adult

Identifiers

PMID39172802
PMCPMC11340889

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.