Show simple item record

dc.contributor.authorMarczak, Raphaël
dc.contributor.authorvan Vught, Jasper
dc.contributor.authorNacke, Lennart E.
dc.contributor.authorSchott, Gareth Richard
dc.date.accessioned2012-11-14T01:34:06Z
dc.date.available2012-11-14T01:34:06Z
dc.date.copyright2012
dc.date.issued2012-07-21
dc.identifier.citationMarczak, 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.en_NZ
dc.identifier.isbn9781450314107
dc.identifier.urihttp://hdl.handle.net/10289/6837
dc.description.abstractUsing 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.en_NZ
dc.language.isoen
dc.publisherACMen_NZ
dc.relation.ispartofProceedings of The 8th Australasian Conference on Interactive Entertainment Playing the System - IE '12
dc.subjectgameplay experienceen_NZ
dc.subjectgameplay metricsen_NZ
dc.subjectvideo processingen_NZ
dc.subjectvisualizationen_NZ
dc.titleFeedback-based gameplay metrics: Measuring player experience via automatic visual analysisen_NZ
dc.typeConference Contributionen_NZ
dc.identifier.doi10.1145/2336727.2336733en_NZ
pubs.elements-id22313


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record