ICAT-EGVE2017

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2631902

Browse

Browsing ICAT-EGVE2017 by Subject "Collaborative interaction"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Collaborative View Configurations for Multi-user Interaction with a Wall-size Display
    (The Eurographics Association, 2017) Kim, Hyungon; Kim, Yeongmi; Lee, Gun A.; Billinghurst, Mark; Bartneck, Christoph; Robert W. Lindeman and Gerd Bruder and Daisuke Iwai
    This paper explores the effects of different collaborative view configuration on face-to-face collaboration using a wall-size display and the relationship between view configuration and multi-user interaction. Three different view configurations (shared view, split screen, and split screen with navigation information) for multi-user collaboration with a wall-size display were introduced and evaluated in a user study. From the experiment results, several insights for designing a virtual environment with a wall-size display were discussed. The shared view configuration does not disturb collaboration despite control conflict and can provide an effective collaboration. The split screen view configuration can provide independent collaboration while it can take users' attention. The navigation information can reduce the interaction required for the navigational task while an overall interaction performance may not increase.
  • Thumbnail Image
    Item
    A Mutual Motion Capture System for Face-to-face Collaboration
    (The Eurographics Association, 2017) Nakamura, Atsuyuki; Kiyokawa, Kiyoshi; Ratsamee, Photchara; Mashita, Tomohiro; Uranishi, Yuki; Takemura, Haruo; Robert W. Lindeman and Gerd Bruder and Daisuke Iwai
    In recent years, motion capture technology to measure the movement of the body has been used in many fields. Moreover, motion capture targeting multiple people is becoming necessary in multi-user virtual reality (VR) and augmented reality (AR) environments. It is desirable that motion capture requires no wearable devices to capture natural motion easily. Some systems require no wearable devices using an RGB-D camera fixed in the environment, but the user has to stay in front of the fixed the RGB-D camera. Therefore, in this research, proposed is a motion capture technique for a multi-user VR / AR environment using head mounted displays (HMDs), that does not limit the working range of the user nor require any wearable devices. In the proposed technique, an RGB-D camera is attached to each HMD and motion capture is carried out mutually. The motion capture accuracy is improved by modifying the depth image. A prototype system has been implemented to evaluate the effectiveness of the proposed method and motion capture accuracy has been compared with two conditions, with and without depth information correction while rotating the RGB-D camera. As a result, it was confirmed that the proposed method could decrease the number of frames with erroneous motion capture by 49% to 100% in comparison with the case without depth image conversion.