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abstract

Predicting the metascore with a subjective user experience data

Published: 19 October 2014 Publication History

Abstract

The aim of this study is to test how well a subjective user experience (UX) data predicts the Metascore of a digital game. The Metascore calculated by the Metacritic.com is one of the most important indicators of a game's commercial success. Thus, game companies are interested in finding reliable in-house tools to estimate the Metascore before releasing their product. We utilized subjective survey data to test a preliminary regression model for Metascore. The model explained over 50% of the variance between the Metascores. Practically, this means that we can predict a correct Metascore class (e.g., universal acclaim) with 75% accuracy. These promising results provide good grounds for future research on the topic.

References

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Chen, M., Kolko, B. E., Cuddihy, E. and Medina, E. Modeling but NOT measuring engagement in computer games. In Proc. Games Learning Society, ETC Press (2011), 55--63.
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Greenwood-Ericksen, A., Poorman, S. and Papp, R. On the Validity of Metacritic in Assessing Game Value. Eludamos Journal for Computer Game Culture 7, 1 (2013), 101--127.
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Livingston I., Nacke L. and Mandryk R. Influencing experience: the effects of reading game reviews on player experience. In Proc. Entertainment Computing? ICEC 2011. Springer, 2011, 89--100.
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Takatalo, J., Nyman, G. and Laaksonen, L. Components of human experience in virtual environments. Computers in Human Behavior 24, 1 (2008), 1--15.
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Takatalo J. Psychologically-based and content-oriented experience in entertainment virtual environments. PhD Thesis, Helsinki: Unigrafia, 2011.
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Takatalo J., Häkkinen J., Kaistinen J. and Nyman G. Presence, involvement & flow in digital games. In Bernhaupt R. ed. Evaluating user experiences in games: concepts and methods. Springer-Verlag, London, 2010.

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cover image ACM Conferences
CHI PLAY '14: Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play
October 2014
492 pages
ISBN:9781450330145
DOI:10.1145/2658537
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2014

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Author Tags

  1. game-user research
  2. metascore
  3. user experience

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CHI PLAY '14
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CHI PLAY '14 Paper Acceptance Rate 30 of 104 submissions, 29%;
Overall Acceptance Rate 421 of 1,386 submissions, 30%

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