ICAT-EGVE2015

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

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Browsing ICAT-EGVE2015 by Subject "Computer Graphics [I.3.6]"

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    Physical Space Requirements for Redirected Walking: How Size and Shape Affect Performance
    (The Eurographics Association, 2015) Azmandian, Mahdi; Grechkin, Timofey; Bolas, Mark; Suma, Evan; Masataka Imura and Pablo Figueroa and Betty Mohler
    Redirected walking provides a compelling solution to explore large virtual environments in a natural way. However, research literature provides few guidelines regarding trade-offs involved in selecting size and layout for physical tracked space. We designed a rigorously controlled benchmarking framework and conducted two simulated user experiments to systematically investigate how the total area and dimensions of the tracked space affect performance of steer-to-center and steer-to-orbit algorithms. The results indicate that minimum viable size of physical tracked space for these redirected walking algorithms is approximately 6m 6m with performance continuously improving in larger tracked spaces. At the same time, no ''optimal'' tracked space size can guarantee the absence of contacts with the boundary. We also found that square tracked spaces enabled best overall performance with steer-to-center algorithm also performing well in moderately elongated rectangular spaces. Finally, we demonstrate that introducing translation gains can provide a useful boost in performance, particularly when physical space is constrained. We conclude with the discussion of potential applications of our benchmarking toolkit to other problems related to performance of redirected walking platforms.
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    The Stretchable Arms for Collaborative Remote Guiding
    (The Eurographics Association, 2015) Chénéchal, Morgan Le; Duval, Thierry; Gouranton, Valérie; Royan, Jérome; Arnaldi, Bruno; Masataka Imura and Pablo Figueroa and Betty Mohler
    The help of a remote expert to guide an agent in performing a physical task can be advantageous in many ways: saving time and money by avoiding travel, and thus increasing the rate of intervention. In many situations, the remote expert wishes to guide the agent by first placing him in the correct location to achieve the task. However, as the agent is not a robot, the expert can not use a location controller to place the agent. Instead, interaction techniques must enable the expert to achieve this task before physical manipulation guidance. In this paper, we propose a novel interaction technique for remote guiding based on arm gestures. First, the remote expert (using a VR setup) virtually collocates himself with the agent (using an AR setup), then controls virtual arms collocated with both users' shoulders. Second, if the expert starts to move forward to grasp a virtual object, the virtual arms start to stretch in order to keep the shoulders' collocation on the agent's side. This metaphor allows the agent to understand the direction of the expert's motion easily while preserving the naturalness of the interaction and avoiding the use of a frustum to represent the expert's head location.