• DocumentCode
    606053
  • Title

    Use of ontology-based ethnographic decision tree model to explore MMORPGs

  • Author

    Chingwei Chang ; Kwoting Fang

  • Author_Institution
    Dept. Inf. Syst. Manage., Lee-Ming Inst. of Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    755
  • Lastpage
    759
  • Abstract
    As the internet has become increasingly accessible, an online gaming culture has evolved. The growth of online gaming reflects its importance to the gaming industry. Based on a sample of 46 college students, we formulated an ontology-based ethnographic decision tree model (OBEDTM) to predict whether these students will play massively multiplayer online games (MMORPGs). In this study, we applied the model to 180 additional students to test the predictive power of the OBEDTM. Results show that the OBEDTM has a predictive power of 97%, much better than that of the traditional model. In addition, the OBEDTM is more objective, cost efficient, and practical. Our study shows that college students do not play MMORPGs because they do not find them fulfilling. The main reason students choose to play MMORPGs is due to a friend´s recommendation.
  • Keywords
    computer games; decision trees; ontologies (artificial intelligence); MMORPG; OBEDTM; college students; gaming industry; massively multiplayer online games; online gaming culture; ontology-based ethnographic decision tree model; Ethnographic decision tree model; Massively multiplayer online games; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528733