Abstract
To quantify the regularity of state updates, the concept of Irregular Degree was introduced. Two experiments corresponding to four different filtering policies were designed. In the first experiment three filtering policies based on Irregular Degree were compared. In the second experiment, the filtering policy achieving the best task performance in the first experiment was selected to compare with other filtering policies. The results of the first experiment indicate that the stability of state updates per second is a more important impact factor than Irregular Degree on the task performance. The results of the second experiment indicate that corresponding to different state updates per second, the filtering policies can achieve different task performance.
This work was supported by the Natural Science Foundation of Zhejiang Province, China (No. Y104199) and the Scientific Research Fund of Zhejiang Provincial Education Department, China (No. 20051020).
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References
Leigh, J.: A review of tele-immersive applications in the CAVE research network. In: Proc. of IEEE International Conference on Virtual Reality, pp. 180–187 (1999)
Lin, K.C.: Dead reckoning and distributed interactive simulation. In: Proc. of International Symposium on Aerospace/Defense Sensing, Simulation and Controls (1995)
Park, K.S., Kenyon, R.V.: Effects of network characteristics on human performance in a collaborative virtual environment. In: Proc. of IEEE Virtual Reality, pp. 104–111 (1999)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chen, L., Liu, W., Chen, G. (2006). Effects of Filtering Policies on Task Performance in a Desktop CVE System. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_159
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DOI: https://doi.org/10.1007/11736639_159
Publisher Name: Springer, Berlin, Heidelberg
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