ICAT-EGVE2015

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https://diglib.eg.org/handle/10.2312/13833

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Browsing ICAT-EGVE2015 by Subject "Evaluation/methodology"

Now showing 1 - 3 of 3
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    Influence of Path Complexity on Spatial Overlap Perception in Virtual Environments
    (The Eurographics Association, 2015) Vasylevska, Khrystyna; Kaufmann, Hannes; Masataka Imura and Pablo Figueroa and Betty Mohler
    Real walking in large virtual indoor environments within a limited real world workspace requires effective spatial compression methods. These methods should be unnoticed by the user. Scene manipulation that creates overlapping spaces has been suggested in recent work. However, there is little research focusing on users' perception of over-lapping spaces depending on the layout of the environment. In this paper we investigate how the complexity of the path influences the perception of the overlapping spaces it connects. We compare three spatial virtual layouts with paths that differ in complexity (length and number of turns). Our results suggest that an increase of the path's length is less efficient in decreasing overlap detection than a combination of length and additional turns. Furthermore, combination of paths that differ in complexity influences the distance perception within overlapping spaces.
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    Mutual Proximity Awareness in Immersive Multi-User Virtual Environments with Real Walking
    (The Eurographics Association, 2015) Podkosova, Iana; Kaufmann, Hannes; Masataka Imura and Pablo Figueroa and Betty Mohler
    Are users aware of each other in an immersive multi-user virtual environment if they cannot see or hear each other? We present a study on users' awareness of other users who share the same physical space. The goal of our research is to investigate proximity awareness when walking in multi-user virtual environments. The high degree of immersion in our virtual environment is achieved through the use of a head-mounted display and real walking in a large tracked space. In our experiment, pairs of participants are required to walk on pre-defined paths towards or side by side to each other and point at their test partners if they feel their presence. Our results show that 1/3 of the participants who had a-priori knowledge about the possible proximity of their test partners could notice their test partners during the experiment at a distance shorter than 1m. The test subjects who did not have any a-priori knowledge proved to be not aware of other users.
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    Visually Induced Motion Sickness Estimation and Prediction in Virtual Reality using Frequency Components Analysis of Postural Sway Signal
    (The Eurographics Association, 2015) Chardonnet, Jean-Rémy; Mirzaei, Mohammad Ali; Mérienne, Frédéric; Masataka Imura and Pablo Figueroa and Betty Mohler
    The paper proposes a method for estimating and predicting visually induced motion sickness (VIMS) occurring in a navigation task in a 3D immersive virtual environment, by extracting features from the body postural sway signals in both the time and frequency domains. Past research showed that the change in the body postural sway may be an element for characterizing VIMS. Therefore, we conducted experiments in a 3D virtual environment where the task was simply a translational movement with different navigation speeds. By measuring the evolution of the body's center of gravity (COG), the analysis of the sway signals in the time domain showed a dilation of the COG's area, as well as a change in the shape of the area. Frequency Components Analysis (FCA) of the sway signal gave an efficient feature to estimate and predict the level of VIMS. The results provide promising insight to better monitor sickness in a virtual reality application.