DocumentCode :
130254
Title :
Game intelligence
Author :
Devlin, Sam ; Cowling, Peter I. ; Kudenko, Daniel ; Goumagias, Nikolaos ; Nucciareli, Alberto ; Cabras, Ignazio ; Fernandes, Kiran Jude ; Feng Li
Author_Institution :
Univ. of York, York, UK
fYear :
2014
fDate :
26-29 Aug. 2014
Firstpage :
1
Lastpage :
8
Abstract :
Game Intelligence is knowledge gained by the player or by analysing the data players generate by playing digital games. Serious games for education, raising public awarenesss or changing the players´ behaviour are well established and have provided Game Intelligence for decades [1]. However, more recently a trend has begun, inspired by the success of FoldIt [2], [3], of developing games for scientific discovery. These games lower the barrier of entry to complex scientific topics, allowing gamers to contribute to cutting edge research. We argue that this approach is currently underutilized and explore a vision where these games have wider impact. Furthermore, we will discuss the potential of extracting Game Intelligence from games designed originally for entertainment, potentially making all games into scientific discovery games.
Keywords :
serious games (computing); digital games; educational games; game development; game intelligence; scientific discovery games; serious games; Computational modeling; Games;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Games (CIG), 2014 IEEE Conference on
Conference_Location :
Dortmund
Type :
conf
DOI :
10.1109/CIG.2014.6932917
Filename :
6932917
Link To Document :
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