A Helpful Relocation Function for Augmenting Teaching in a Multiple User Shared Virtual Environment

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


Virtual reality platforms have dramatically both grown in popularity and uses over the past few years. Their critical uses as a teaching tool are currently being investigated; with promising preliminary results. While VR allows users to enter a virtual environment with unparalleled levels of immersion, there are some apparent limitations that arise when it is used as a teaching tool; primarily that it is difficult to achieve high levels of collaboration during utilization. As such, research has been done to develop shared virtual environments that allow multiple users to enter the same virtual space, represented by avatars, and interact with one another. However, these systems have additional drawbacks, i.e. it is incredibly difficult to find other users in a virtual environment. This becomes especially true in most teaching scenarios; for example, where an instructor desires to show students multiple noteworthy locations within the same anatomical environment. Here we propose a solution, an update to our current shared virtual reality anatomy environments, that allows users to instantly relocate to the position of the instructor/proctor. This solution reduces the time needed in the virtual environment to direct students to critical anatomic features: i.e., when users are attempting to locate the instructor. In other words, this feature aids to maximize the time spent instructing and learning critical aspects of the immersive virtual reality environments: here we will focus on scenes utilized for teaching human anatomy.

Original languageEnglish (US)
Title of host publicationProceedings of the Future Technologies Conference, FTC 2021, Volume 3
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9783030899110
StatePublished - 2022
Event6th Future Technologies Conference, FTC 2021 - Virtual, Online
Duration: Oct 28 2021Oct 29 2021

Publication series

NameLecture Notes in Networks and Systems
Volume360 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference6th Future Technologies Conference, FTC 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.


  • Cardiac anatomy
  • Virtual learning environments
  • Virtual reality


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