A Variety of Players Type: A Data-Driven Approach Applied to the Game of Bridge

23 Pages Posted: 29 Aug 2022

See all articles by Camille Sauvain

Camille Sauvain

Sorbonne University - PSL University

Véronique Ventos

affiliation not provided to SSRN

Jérôme Sackur

affiliation not provided to SSRN

Abstract

Games have long been used as models of complex social interactions. One key observation is that not all players behave exactly alike. Can we model this betweenplayers variability in a generalizable framework? We tackle this issue using a new paradigm in cognitive science, the game of Bridge. We use a data-driven approach to reveal individual characteristics of bridge players ( N = 1300) from a 66-items Bridge Inventory. We uncover 5 factors: Aggressiveness, Discipline, Creativity, Emotionality and Experience. Based on them, a gaussian mixture model identifies 3 bridge players’ types: Conventional, Measured and Subversive. We show that personality traits do not convey all the information needed to recover bridge players’ types. These findings provide an ecologically valid, meso-level description of between-players variability, that stand at an intermediate level between broad personality traits and specific patterns of behaviors. We argue that this framework is extendable to other social interactions.

Keywords: personality, players variability, psychometry, bridge game, data mining

Suggested Citation

Sauvain, Camille and Ventos, Véronique and Sackur, Jérôme, A Variety of Players Type: A Data-Driven Approach Applied to the Game of Bridge. Available at SSRN: https://ssrn.com/abstract=4203174 or http://dx.doi.org/10.2139/ssrn.4203174

Camille Sauvain (Contact Author)

Sorbonne University - PSL University ( email )

75005 Paris
France

Véronique Ventos

affiliation not provided to SSRN ( email )

No Address Available

Jérôme Sackur

affiliation not provided to SSRN ( email )

No Address Available

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
41
Abstract Views
308
PlumX Metrics