Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/108397
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Type: Conference paper
Title: Concealing jitter in multi-player online games through predictive behaviour modeling
Author: Gao, C.
Shen, H.
Babar, M.
Citation: Proceedings of the 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design, 2016 / Shen, W., Liu, X., Yang, C., Barthes, J., Luo, J., Chen, L., Yong, J. (ed./s), pp.62-67
Publisher: IEEE
Issue Date: 2016
Series/Report no.: International Conference on Computer Supported Cooperative Work in Design
ISBN: 9781509019151
Conference Name: 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) (04 May 2016 - 06 May 2016 : Nanchang, China)
Statement of
Responsibility: 
Chen Gao and Haifeng Shen, M. Ali Babar
Abstract: Network latency imposes a major hinderance on the responsiveness and consistency of a Multi-Player Online Game (MPOG). In past decades, several network topologies and latency handling solutions have been proposed and adopted in a variety of MPOGs. Another issue closely related to latency is jitter, which is caused by the variation of latency. Most of the existing MPOGs adopt a simplistic approach to tackling jitter: when one's varying latency exceeds a threshold, one will be forced to leave the game; otherwise latency is treated constant or estimated from historical data. However, forcing a player to quit in the middle of a game simply because of a spike of unusual lengthy latency has a significant negative impact on both the fairness of the game and the player's gameplay quality of experience (QoE). In this paper, we propose an alternative approach that instead conceals jitter by seamlessly and transparently switching between a remote human player and their intelligent agent that resembles them. To model such an intelligent agent, we further contribute a novel technique referred to as predictive modeling of user behaviour (PREMUB), which predicts an object's future state based on how the remote player interacts with the object in the past. We have also developed an online table tennis game to demonstrate this idea and compare the prediction accuracy between using PREMUB and using the existing technique of dead reckoning that does not consider a user's playing pattern..
Keywords: MPOG, latency, jitter, consistency, responsiveness, predictive behaviour modeling, dead reckoning
Rights: © 2016 IEEE
RMID: 0030057593
DOI: 10.1109/CSCWD.2016.7565964
Appears in Collections:Computer Science publications

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