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Influence of interaction techniques on vims in virtual environments : estimation et prédiction

Abstract : Understanding oculo-vestibular dynamics during sensory rearrangement in the central nervous system plays an extremely important role in better understanding human perception, and improves the technology in many engineering fields. Besides, the sensory conflict that occurs between ocular, vestibular and proprioception during sensory rearrangement at certain occasions might adversely affect the user performance in a wide variety of domains including flight/car simulators, scale-one 3D systems, large-scale displays, serious games, and so on. Therefore, knowing the condition in which the sensory conflict happens has a great deal of importance. This study aims at understanding the nature of sensory conflict by modeling and subjective studies, and the conditions in which it takes place in a synthetic environment. The results then will be used to design better navigation and manipulation interfaces in immersive and interactive Virtual Environments. A set of novel features including the area/shape of the user's COG post-exposure postural sway, the difference between LF and HF components of the sway in a frequency space, and the time of exposure will be proposed as indicators of this conflict in real-time processes. Finally, the proposed method will be used to evaluate a set of navigation interfaces. The interfaces include device-based, walking in place, speech processing, iDevice-based, and finally sensor fusion. It will be shown that naturally inspired interfaces create less conflict comparing to artificial ones. Moreover, user trajectories and inappropriate settings of navigation parameters can lead to higher conflict. In summary, to avoid user's general discomfort, the parameters of navigation need to be set in a certain range.
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Submitted on : Friday, March 13, 2015 - 3:18:07 PM
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  • HAL Id : tel-01131426, version 1


Mohammad Ali Mirzaei. Influence of interaction techniques on vims in virtual environments : estimation et prédiction. Traitement du signal et de l'image [eess.SP]. Ecole nationale supérieure d'arts et métiers - ENSAM, 2014. Français. ⟨NNT : 2014ENAM0056⟩. ⟨tel-01131426⟩



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