VE: Eurographics Workshop on Virtual Environments - Short Papers

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Browsing VE: Eurographics Workshop on Virtual Environments - Short Papers by Subject "assisted instruction"

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    An Adaptive AR Tutor For Cabling a Network Topology
    (The Eurographics Association, 2017) Herbert, B. M.; Weerasinghe, A.; Ens, Barrett; Billinghurst, Mark; Tony Huang and Arindam Dey
    We present an Augmented Reality (AR) network cabling tutor that provides visual annotations for improving learning in psychomotor tasks. Unlike many existing AR learning systems, our system combines AR with an intelligent tutoring system (ITS) that should enhance learning over existing desktop solutions. We intend to use this prototype as a test-bed for evaluating learning differences between a desktop web-based user interface, a hand-held AR display and a Head Mounted Display (HMD) AR display.
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    An AR Network Cabling Tutoring System for Wiring a Rack
    (The Eurographics Association, 2017) Herbert, B. M.; Weerasinghe, A.; Ens, Barrett; Billinghurst, Mark; Wigley, G.; Tony Huang and Arindam Dey
    We present a network cabling tutoring system that guides learners through cabling a network topology by overlaying virtual icons and arrows on the ports. The system determines the network state by parsing switch output and does not depend on network protocols being functional. A server provides a web-based user interface and communicates with an external intelligent tutoring system called The Generalized Intelligent Framework for Tutoring. Users use a tablet to view AR annotations, though support for HoloLens HMD will be added soon.
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    Sign Language Learning System with Concurrent Shared Avatar Hand in a Virtual Environment: Psychological Evaluation
    (The Eurographics Association, 2022) Katsumata, Yasunobu; Ishimoto, Hiroki; Inoue, Yasuyuki; Kitazaki, Michiteru; Theophilus Teo; Ryota Kondo
    We aimed to develop a sign language learning system using virtual reality to improve learning motivation. Hand movements for twenty words consisted of three letters were recorded with a hand motion capture system (model hand). In the learning system, the participant was asked to mimic the model hand movement while looking at both the model hand and the ''own hand'' in a head mounted display (HMD) with the hand motion capture. The ''own hand'' avatar was either of the real own hand or the shared hand motion, which was made by averaging the participant's hand and the model hand movements. The model hand was presented either in the opposite or same direction as the participant. Participants rated the usability of the system in 2 x 2 (own/shared hand x opposite/same direction) experimental blocked design. We found that the shared hand avatar and the same direction presentation were better than the own hand and the opposite direction presentation, respectively. Thus, the proposed shared hand avatar system with the HMD and hand motion capture could improve sign language learning.