Abstract
In this article, we describe how a web browser game can be improved through the knowledge obtained from the analysis of the behavior of its players. The analysis of player behavior is a technique that has been used with success in traditional computer games. These kind of analyses have been proven to help the developers in creating games which provide a more engaging and enjoyable experience. Currently, there is an interest in trying to replicate this success in a less-conventional genre of games, normally called browser games. The defining characteristic of browser games is the fact that they are computer games which are played directly on the web browser. Due to the increased ease of Internet access and the growth of the smartphone market, this game genre has a promising future. Browser games regarding the area of game mining have an advantage over traditional computer games in that their characteristics player behavior is relatively easy to collect.
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Alves, J., Neves, J., Lange, S., Riedmiller, M. (2016). Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior. In: Skulimowski, A., Kacprzyk, J. (eds) Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-319-19090-7_5
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DOI: https://doi.org/10.1007/978-3-319-19090-7_5
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