NDLI: A taxonomy for player actions with latency in network games

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Content Provider	ACM Digital Library
Author	Claypool, Mark Wang, Tianhe Watts, McIntyre
Abstract	The degradation of player performance in network games with latency is well documented. However, quantifying the effects of latency on player individual actions is an unmet challenge. Under constrained bitrate conditions, player actions delayed on the client add additional latency, so network game developers need tools to help prioritize the sending of player actions. This paper presents a taxonomy for player actions with latency in network games, where player actions are defined by their precision, deadline & impact. The effects of latency along each dimension of the taxonomy are analyzed through extensive experiments with a custom 2d game. Efficacy of the taxonomy in game development is illustrated by experiments that show improved player performance when prioritizing player actions based on their expected impact derived from the taxonomy dimensions.
Starting Page	67
Ending Page	72
Page Count	6
File Format	PDF
ISBN	9781450333528
DOI	10.1145/2736084.2736093
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Impact Precision Taxonomy Deadline Games Latency
Content Type	Text
Resource Type	Article

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A taxonomy for player actions with latency in network games