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Researching Affective Systems and Engaging Interactions

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Researchers

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Jasper van Vught

External Ph.D. Student at University of Waikato, Videogame Classification

Jasper was co-supervised by Dr. Nacke with Gareth Schott at the University of Waikato and Frans Mäyrä from University of Tampere. Jasper worked within the Royal Society of New Zealand Marsden grant project “Videogame Classification: Measuring Player Experience”. His research was focussed on the theoretical aspects of player suspense and experience together with diary studies of young video game players in New Zealand. This supported a study with New Zealand kids aged between 13 and 16 that played and evaluated R16-rated games. His Ph.D. project was directly linked to that of Raphaël. They were working closely together to continuously combine both quantitative and qualitative methods, and enhance the understanding of the player’s experience through a multi-disciplinary approach.

Publications

Year 2012


Proceedings

Feedback-Based Gameplay Metrics: Measuring Player Experience via Automatic Visual Analysis

Raphaël Marczak, Jasper van Vught, Gareth Schott, and Lennart Nacke. 2012. Feedback-Based Gameplay Metrics: Measuring Player Experience via Automatic Visual Analysis. In Proceedings of ACM IE 2012. Auckland, New Zealand. ACM, 6. doi:10.1145/2336727.2336733
PDFDOIBibTeXAbstract
@inproceedings{marczak2012feedback,
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.},
Address = {Auckland, New Zealand},
Author = {R. Marczak, J. van Vught, G. Schott, and L. E. Nacke},
Booktitle = {Proceedings of acm ie 2012},
Doi = {10.1145/2336727.2336733},
Img = {http://hcigames.com/wp-content/uploads/2015/02/Feedback-Based-Gameplay-Metrics-Measuring-Player-Experience-via-Automatic-Visual-Analysis.png},
Organization = {ACM},
Pages = {6},
Publisher = {ACM},
Title = {Feedback-Based Gameplay Metrics: Measuring Player Experience via Automatic Visual Analysis},
Url = {https://hcigames.com/download/feedback-based-gameplay-metrics-measuring-player-experience-via-automatic-visual-analysis},
Year = {2012},
BdskUrl1 = {https://hcigames.com/wp-content/uploads/2015/01/Feedback-Based-Gameplay-Metrics-Measuring-Player-Experience-via-Automatic-Visual-Analysis.pdf},
BdskUrl2 = {http://dx.doi.org/10.1145/2336727.2336733}}
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.
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