Datagame: Crowdsourcing, Metrics & Traces Julian Alvarez - 2018


Support : Publications
Auteur(s) : Julian Alvarez
Editeur : Proceedings of the 2nd International Conference on Web Studies Pages 72-76, Paris, France, October 03 - 05, 2018 ACM New York, NY, USA, ISBN: 978-1-4503-6438-6, doi>10.1145/3240431.3240445
Date : 2018
Langue : Langue


This paper aims to present the concept of Datagame, a category of Serious Game associated with data exchange. After having exposed the concept of Datagame, presented subcategories and associated titles, reviewed the notion of crowdsourcing, metrics and traces, we will explore if such games relativize the unproductive criteria of Caillois and if direct benefits could be addressed to players.



Mots-clés : Datagame, Serious Game, Metrics, Traces, Crowdsourcing, Benefits, Players