Indicator products for observing market conditions and game trends in MMOG

Sheng Yi Hsu*, Chia Lin Hsu, Shing Yun Jung, Chuen-Tsai Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Complex economic phenomena require significant time and effort to make observations and collect data. Inspired by the concepts of indicator species and the Big Mac index, in this paper we propose a novel and intuitive market concept, indicator products, for analyzing purchase decisions that are made on a regular basis, and for helping online game designers and researchers to observe player behaviors and market conditions. Blizzard Entertainment's World of Warcraft is used to show how indicator products can be identified. We discuss the common features that indicator products share, as well as associated player behaviors.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on the Foundations of Digital Games, FDG 2017
EditorsAlessandro Canossa, Miguel Sicart, Casper Harteveld, Jichen Zhu, Sebastian Deterding
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450353199
DOIs
StatePublished - 14 Aug 2017
Event12th International Conference on the Foundations of Digital Games, FDG 2017 - Cape Cod, United States
Duration: 14 Aug 201717 Aug 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130151

Conference

Conference12th International Conference on the Foundations of Digital Games, FDG 2017
CountryUnited States
CityCape Cod
Period14/08/1717/08/17

Keywords

  • Game Analytics
  • MMOG
  • Player Behaviors
  • Virtual Economy
  • Virtual Markets

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  • Cite this

    Hsu, S. Y., Hsu, C. L., Jung, S. Y., & Sun, C-T. (2017). Indicator products for observing market conditions and game trends in MMOG. In A. Canossa, M. Sicart, C. Harteveld, J. Zhu, & S. Deterding (Eds.), Proceedings of the 12th International Conference on the Foundations of Digital Games, FDG 2017 [A54] (ACM International Conference Proceeding Series; Vol. Part F130151). Association for Computing Machinery. https://doi.org/10.1145/3102071.3106361