Game intelligence

Sam Devlin; Peter I. Cowling; Daniel Kudenko; Nikolaos Goumagias; Alberto Nucciareli; Ignazio Cabras; Kiran Jude Fernandes; Feng Li

doi:10.1109/CIG.2014.6932917

Game intelligence

Sam Devlin^*, Peter I. Cowling, Daniel Kudenko, Nikolaos Goumagias, Alberto Nucciareli, Ignazio Cabras, Kiran Jude Fernandes, Feng Li

^*Corresponding author for this work

Business and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014)
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	9781479935468
ISBN (Print)	9781479935468
DOIs	https://doi.org/10.1109/CIG.2014.6932917
Publication status	Published - 26 Aug 2014
Event	IEEE Conference on Computational Intelligence and Games (CIG 2014) - Dortmund, Germany Duration: 26 Aug 2014 → …

Publication series

Name	IEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)	2325-4270
ISSN (Electronic)	2325-4289

Conference

Conference	IEEE Conference on Computational Intelligence and Games (CIG 2014)
Period	26/08/14 → …

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10.1109/CIG.2014.6932917

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title = "Game intelligence",

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.",

author = "Sam Devlin and Cowling, {Peter I.} and Daniel Kudenko and Nikolaos Goumagias and Alberto Nucciareli and Ignazio Cabras and Fernandes, {Kiran Jude} and Feng Li",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; IEEE Conference on Computational Intelligence and Games (CIG 2014) ; Conference date: 26-08-2014",

year = "2014",

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day = "26",

doi = "10.1109/CIG.2014.6932917",

language = "English",

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Devlin, S, Cowling, PI, Kudenko, D, Goumagias, N, Nucciareli, A, Cabras, I, Fernandes, KJ & Li, F 2014, Game intelligence. in Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014)., 6932917, IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE, Piscataway, NJ, IEEE Conference on Computational Intelligence and Games (CIG 2014), 26/08/14. https://doi.org/10.1109/CIG.2014.6932917

TY - GEN

T1 - Game intelligence

AU - Devlin, Sam

AU - Cowling, Peter I.

AU - Kudenko, Daniel

AU - Goumagias, Nikolaos

AU - Nucciareli, Alberto

AU - Cabras, Ignazio

AU - Fernandes, Kiran Jude

AU - Li, Feng

PY - 2014/8/26

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AB - 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.

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M3 - Conference contribution

SN - 9781479935468

T3 - IEEE Conference on Computatonal Intelligence and Games, CIG

BT - Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014)

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE Conference on Computational Intelligence and Games (CIG 2014)

Y2 - 26 August 2014

ER -

Game intelligence

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