NDLI: How players lose interest in playing a game: An empirical study based on distributions of total playing times

Content Provider	IEEE Xplore Digital Library
Author	Bauckhage, C. Kersting, K. Sifa, R. Thurau, C. Drachen, A. Canossa, A.
Copyright Year	2012
Description	Author affiliation: Fraunhofer IAIS and the University of Bonn, Bonn, Germany (Bauckhage, C.; Kersting, K.) \|\| Aalborg University, Ballerup, Denmark (Drachen, A.) \|\| Game Analytics, Copenhagen, Denmark (Thurau, C.) \|\| University of Bonn, Bonn, Germany (Sifa, R.) \|\| IT University of Copenhagen, Copenhagen, Denmark (Canossa, A.)
Abstract	Analyzing telemetry data of player behavior in computer games is a topic of increasing interest for industry and research, alike. When applied to game telemetry data, pattern recognition and statistical analysis provide valuable business intelligence tools for game development. An important problem in this area is to characterize how player engagement in a game evolves over time. Reliable models are of pivotal interest since they allow for assessing the long-term success of game products and can provide estimates of how long players may be expected to keep actively playing a game. In this paper, we introduce methods from random process theory into game data mining in order to draw inferences about player engagement. Given large samples (over 250,000 players) of behavioral telemetry data from five different action-adventure and shooter games, we extract information as to how long individual players have played these games and apply techniques from lifetime analysis to identify common patterns. In all five cases, we find that the Weibull distribution gives a good account of the statistics of total playing times. This implies that an average player's interest in playing one of the games considered evolves according to a non-homogeneous Poisson process. Therefore, given data on the initial playtime behavior of the players of a game, it becomes possible to predict when they stop playing.
Starting Page	139
Ending Page	146
File Size	860816
Page Count	8
File Format	PDF
ISBN	9781467311939
e-ISBN	9781467311946
e-ISBN	9781467311922
DOI	10.1109/CIG.2012.6374148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-11
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Hidden Markov models Games Random processes Telemetry Data mining Mathematical model
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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