A gesture system for graph visualization in virtual reality environments

Yi Jheng Huang, Takanori Fujiwara, Yun Xuan Lin, Wen Chieh Lin, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

As virtual reality (VR) hardware technology becomes more mature and affordable, it is timely to develop visualization applications making use of such technology. How to interact with data in an immersive 3D space is both an interesting and challenging problem, demanding more research investigations. In this paper, we present a gesture input system for graph visualization in a stereoscopic 3D space. We compare desktop mouse input with gesture input with bare hands for performing a set of tasks on graphs. Our study results indicate that users are able to effortlessly manipulate and analyze graphs using gesture input. Furthermore, the results also show that using gestures is more efficient when exploring the complicated graph.

Original languageEnglish (US)
Title of host publication2017 IEEE Pacific Visualization Symposium, PacificVis 2017 - Proceedings
EditorsYingcai Wu, Daniel Weiskopf, Tim Dwyer
PublisherIEEE Computer Society
Pages41-45
Number of pages5
ISBN (Electronic)9781509057382
DOIs
StatePublished - Sep 11 2017
Event10th IEEE Pacific Visualization Symposium, PacificVis 2017 - Seoul, Korea, Republic of
Duration: Apr 18 2017Apr 21 2017

Other

Other10th IEEE Pacific Visualization Symposium, PacificVis 2017
CountryKorea, Republic of
CitySeoul
Period4/18/174/21/17

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Keywords

  • H.5.2 [Information Systems]
  • Information Interfaces and Presentation - User Interfaces

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software

Cite this

Huang, Y. J., Fujiwara, T., Lin, Y. X., Lin, W. C., & Ma, K-L. (2017). A gesture system for graph visualization in virtual reality environments. In Y. Wu, D. Weiskopf, & T. Dwyer (Eds.), 2017 IEEE Pacific Visualization Symposium, PacificVis 2017 - Proceedings (pp. 41-45). [8031577] IEEE Computer Society. https://doi.org/10.1109/PACIFICVIS.2017.8031577