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Reducing the negative effects of inconsistencies in networked games

Published:19 October 2014Publication History

ABSTRACT

Networking is a key component of digital games, with many featuring multiplayer modes and online components. The time required to transmit data over a network can lead to usability problems such as inconsistency between players' views of a virtual world, and race conditions when resolving players' actions. Implementing a good consistency maintenance scheme is therefore critical to gameplay. Sadly, problems with consistency remain a regular occurrence in multiplayer games, causing player game states to diverge. There is little guidance available on how these inconsistencies impact player experience, nor on how best to repair them when they arise. We investigate the effectiveness of different strategies for repairing inconsistencies, and show that the three most important factors affecting the detection of corrections are the player's locus of attention, the smoothness of the correction and the duration of the correction.

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    • Published in

      cover image ACM Conferences
      CHI PLAY '14: Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play
      October 2014
      492 pages
      ISBN:9781450330145
      DOI:10.1145/2658537

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      • Published: 19 October 2014

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      CHI PLAY '14 Paper Acceptance Rate30of104submissions,29%Overall Acceptance Rate421of1,386submissions,30%

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