Performance of Remote Anatomy and Surgical Training Applications Under Varied Network Conditions

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Shah, A., Harris, D. & Gutierrez, D. (2002). Performance of Remote Anatomy and Surgical Training Applications Under Varied Network Conditions. In P. Barker & S. Rebelsky (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2002 (pp. 662-667). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/10094.

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Conference Information

World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2002
Denver, Colorado, USA
2002
ISBN 1-880094-45-2
  Philip Barker & Samuel Rebelsky
AACE

More Information on EDMEDIA
Table of Contents

Authors

Amol Shah, Dale Harris, David Gutierrez, Stanford University, United States

Abstract

SUMMIT (Stanford University Medical Multimedia and Information Technologies) is currently developing hypermedia applications for remote anatomy and surgical training. These applications include interactive high-resolution 3-D imaging, 3-D streaming video and haptic (force feedback) tools to be used in both self and collaborative study modes. These applications are network-intensive and the perceived performance quality of each one changes in a different manner to varying network conditions. Part of the research conducted at SUMMIT has been focused on determining the network requirements for medical training applications like these. This paper presents the results of experiments that study the usability of these applications as the network conditions change and discuss the implications these results have on the development of similar networked hypermedia educational applications and on the design of networks to be used for them.

Keywords

• Change
• Training
• Multimedia
• Networking Technologies

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