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Proceedings of the 2012 International Conference on Cyberworlds CW 2012


 
Time and place:
Darmstadt, Germany
September 25-27, 2012
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References from this conference (2012)

The following articles are from "Proceedings of the 2012 International Conference on Cyberworlds CW 2012":

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Articles

p. 15-22

Nescher, Thomas and Kunz, Andreas M. (2012): Analysis of Short Term Path Prediction of Human Locomotion for Augmented and Virtual Reality Applications. In: Proceedings of the 2012 International Conference on Cyberworlds CW 2012 September 25-27, 2012, Darmstadt, Germany. pp. 15-22.

When human locomotion is used to interact with virtual or augmented environments, the system's immersion could be improved by providing reliable information about the user's walking intention. Such a prediction can be derived from tracking data to determine the future walking direction. This paper analyses how tracking data relates to navigation decisions from an egocentric view in order to achieve a reliable and stable path prediction. Since tracking data is noisy, a smoothening is required that eliminates oscillations while still recognizing trends in human locomotion. Thus, we analyze different approaches for path prediction, determine relevant setting values, and verify the results by a user study. Results indicate that robust short term prediction of human locomotion is possible but care must be taken when designing such a predictor.

© All rights reserved Nescher and Kunz and/or their publisher

p. 241-245

Migge, Bastian and Kunz, Andreas M. (2012): Interaction Prediction for Content Synchronization of Net-based SharedWorkspaces. In: Proceedings of the 2012 International Conference on Cyberworlds CW 2012 September 25-27, 2012, Darmstadt, Germany. pp. 241-245.

Digital collaborative environments enable spatially separated users to access and modify shared data over network. However, transmission delays of the network lead to inconsistent data and reduce the efficiency of collaboration due to interaction conflicts. In this paper, we present a predictive screen-locking algorithm to avoid interaction collisions on net-based shared interactive screens. A model-based predictor calculates the user's next interaction given his past one. The algorithms locks critical objects to the remote station which is less likely to interact with the object. Although the predictor continuously adapts to the user's interaction behavior, an initial interaction model is needed when the collaboration session is started. Hence, we deduce a reasonable, probabilistic interaction model from a large screen collaboration user study.

© All rights reserved Migge and Kunz and/or their publisher




 

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by Mads Soegaard and Rikke Friis Dam
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