Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16020
Title: An evaluation of the impact of game genre on user experience in cloud gaming
Authors: QUAX, Peter 
BEZNOSYK, Anastasiia 
VANMONTFORT, Wouter 
MARX, Robin 
LAMOTTE, Wim 
Issue Date: 2013
Publisher: IEEE
Source: Proceedings of Games Innovation Conference (IGIC), 2013 IEEE International, p. 216-221
Abstract: Cloud gaming, in which the processing power of a datacenter-based infrastructure is utilized versus local resources, is a popular topic in research. This technology is successfully applied by vendors to enable low-end hardware to deliver a similar gameplay experience to state of the art consoles. Many works in literature have focused on the quantitative aspects of the technology (i.e. delay measurements, visual quality determination etc), but the qualitative factors have not received a similar systematic treatment. Games are typically classified in terms of their gameplay into a distinct category or genre, including action, puzzle, strategy and racing games. In this work, a qualitative comparison of these genres is presented based on a common testing methodology which combines both objective (based on physiological measurements) and subjective (based on user evaluation) approaches. While in normal networked games, only multiplayer experiences are subject to the detrimental effect of delay, the nature of cloud gaming may result in an impact on singleplayer experiences as well. Results from this analysis hint at the fact that there is a similarity in delay-sensitiveness over the different genres in both singleplayer cloud gaming setups and traditional networked multiplayer games. More in particular, results show that action-oriented games are more sensitive to network delay in both setups when compared to other genres.
Notes: Quax, P (reprint author), Hasselt Univ, TUL, IMinds, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium. peter.quax@uhasselt.be
Document URI: http://hdl.handle.net/1942/16020
ISBN: 978-1-4799-1244-5
DOI: 10.1109/IGIC.2013.6659141
ISI #: 000345785700037
Category: C1
Type: Proceedings Paper
Validations: ecoom 2016
Appears in Collections:Research publications

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