Predicting Group Contribution Behaviour in a Public Goods Game from Face-to-Face Communication

Experimental economic laboratories run many studies to test theoretical predictions with actual human behaviour, including public goods games. With this experiment, participants in a group have the option to invest money in a public account or to keep it. All the invested money is multiplied and the...

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Autori principali:	Ehsan Othman, Frerk Saxen, Dmitri Bershadskyy, Philipp Werner, Ayoub Al-Hamadi, Joachim Weimann
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2019-06-01
Serie:	Sensors
Soggetti:	face-to-face communications (FFC) voluntary contribution mechanism (VCM) random forest classification (RFc) facial activity descriptors (FADs) group activity descriptors (GADs) public goods game
Accesso online:	https://www.mdpi.com/1424-8220/19/12/2786
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