An asymmetric collaborative system for architectural-scale space design

Yuta Sugiura, Hikaru Ibayashi, Toby Chong, Daisuke Sakamoto, Natsuki Miyata, Mitsunori Tada, Takashi Okuma, Takeshi Kurata, Takashi Shinmura, Masaaki Mochimaru, Takeo Igarashi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We present a system that facilitates asymmetric collaboration among users with two different viewpoints in the design of living or working spaces. One viewpoint is that of the space designers, who observe and alter the space from a top-down view using a large tabletop interface. The other viewpoint is that of a space occupant, who observes the space through internal views using a head-mounted display. We conducted two studies to understand how our system support users in architectural-scale space design. One is about preliminary user study to observe general behavior to Dollhouse VR system, and the other one is a case study that users are actual employees of restaurant and discuss rearrangement of floor by moving tables and chairs in virtual environment. Results showed that the system supports a pair of interaction techniques that could facilitate communication between these two user viewpoints.

本文言語English
ホスト出版物のタイトルProceedings - VRCAI 2018
ホスト出版物のサブタイトル16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
編集者Stephen N. Spencer
出版社Association for Computing Machinery, Inc
ISBN(電子版)9781450360876
DOI
出版ステータスPublished - 2018 12 2
イベント16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2018 - Tokyo, Japan
継続期間: 2018 12 22018 12 3

出版物シリーズ

名前Proceedings - VRCAI 2018: 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

Conference

Conference16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2018
CountryJapan
CityTokyo
Period18/12/218/12/3

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Business, Management and Accounting (miscellaneous)

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