Papers

Peer-reviewed Lead author Corresponding author
Jul, 2020

Developing an AR Remote Collaboration System with Semantic Virtual Labels and a 3D Pointer

Lecture Notes in Computer Science
  • Tzu-Yang Wang
  • ,
  • Yuji Sato
  • ,
  • Mai Otsuki
  • ,
  • Hideaki Kuzuoka
  • ,
  • Yusuke Suzuki

Volume
12185 LNCS
Number
First page
407
Last page
417
Language
Publishing type
Part of collection (book)
DOI
10.1007/978-3-030-50017-7_30
Publisher
Springer International Publishing

Referential communication is common in physical remote collaboration. To successfully transfer instructions, remote instructors have to refer objects in the local worker’s environment. However, it is known that nonverbal behaviors are hard to be transferred correctly through modern remote collaboration systems. We focused on enhancing verbal communication and developed an AR-based remote collaboration system. Past research has shown that annotation and labels can support communication in collaboration. Thus, we proposed combining the two functions to achieve a smooth remote collaboration. Concerning the labeling function, we improved Chang et al’s work [1] and introduced semantic virtual labels that were attached to the objects in local workers’ environment. Besides, concerning the annotation function, we introduced a 3D pointer and the instructor can easily draw workers’ attention by moving the 3D pointer. In addition, the 3D pointer can highlight the virtual labels to improve the mutual understanding between the instructors and the workers. Later, a simple experiment was conducted to evaluate the usability of the proposed system.

Link information
DOI
https://doi.org/10.1007/978-3-030-50017-7_30
URL
http://link.springer.com/content/pdf/10.1007/978-3-030-50017-7_30
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088743391&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85088743391&origin=inward
ID information
  • DOI : 10.1007/978-3-030-50017-7_30
  • ISSN : 0302-9743
  • eISSN : 1611-3349
  • ISBN : 9783030500160
  • SCOPUS ID : 85088743391

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