Sequential analysis of player behavior

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13 Citations (Scopus)

Abstract

Understanding how interaction unfolds over time is a key factor for understanding the dynamics aspects of player behavior. Thus far, analysis of sequential patterns of player behavior has, however, mainly focused on discovering frequently recurring patterns. However, frequency of occurrence is not always a reliable indicator of a pattern's importance as infrequent patterns can also offer valuable insights about in-game behavior. In this paper we thus propose the use of lag sequential analysis (LSA) - which, rather than relying on frequency counts, makes use of statistical methods to determine the significance of sequential transitions - to aid analysis of behavioral streams of players. For this purpose we apply LSA to in-game data of two well-known games. The meaningfulness of the identified sequences is verified by comparing them to documented and established strategies. In addition, results obtained through LSA are discussed in relation to results from frequency-based sequence mining. Our results suggest that LSA is a promising complement to frequency based methods for analyzing sequential behavior patterns of players.

Original languageEnglish
Title of host publicationCHI PLAY 2015 - Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages349-358
Number of pages10
ISBN (Electronic)978-1-4503-3466-2
DOIs
Publication statusPublished - 5 Oct 2015
Externally publishedYes
Event2nd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2015 - The Light, London, United Kingdom
Duration: 5 Oct 20157 Oct 2015
Conference number: 2
https://chiplay.acm.org/2015/

Conference

Conference2nd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2015
Abbreviated titleCHI PLAY 2015
CountryUnited Kingdom
CityLondon
Period5/10/157/10/15
Internet address

Keywords

  • Frequent sequence mining
  • Game analytics
  • Lag sequential analysis
  • Player behavior
  • Transition probabilities

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  • Cite this

    Wallner, G. (2015). Sequential analysis of player behavior. In CHI PLAY 2015 - Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play (pp. 349-358). Association for Computing Machinery, Inc. https://doi.org/10.1145/2793107.2793112