Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Arts and Social Sciences
      • Arts and Social Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Arts and Social Sciences
      • Arts and Social Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Feedback-based gameplay metrics: Measuring player experience via automatic visual analysis

      Marczak, Raphaël; Van Vught, Jasper Frans; Nacke, Lennart E.; Schott, Gareth R.
      DOI
       10.1145/2336727.2336733
      Find in your library  
      Citation
      Export citation
      Marczak, R., Van Vught, J., Nacke, L. E., & Schott, G.R. (2012). Feedback-based gameplay metrics: Measuring player experience via automatic visual analysis. Proceedings of The 8th Australasian Conference on Interactive Entertainment Playing the System - IE 2012, Auckland, July 21-22, 2012, (pp. 1-10). Auckland , New Zealand.
      Permanent Research Commons link: https://hdl.handle.net/10289/6837
      Abstract
      Using gameplay metrics to articulate player interaction within game systems has received increased interest in game studies. The value of gameplay metrics comes from a desire to empirically validate over a decade of theorization of player experience and knowledge of games as ludic systems. Taking gameplay metrics beyond formalized user testing (i.e. with the aim of improving a product) allows researchers the freedom of examining any commercially available game without the need to have access to the game's source code. This paper offers a new methodology to obtain data on player behavior, achieved through analyzing video and audio streams. Game interface features are being analyzed automatically, which are indicative of player behavior and gameplay events. This paper outlines the development of this methodology and its application to research that seeks to understand the nature of engagement and player motivations.
      Date
      2012-07-21
      Type
      Conference Contribution
      Publisher
      ACM
      Collections
      • Arts and Social Sciences Papers [1422]
      Show full item record  

      Usage

       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement