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Title page for ETD etd-03212015-172605

Type of Document Dissertation
Author Xie, Xianshi
Author's Email Address xianshi.matt.xie@gmail.com
URN etd-03212015-172605
Title An Examination of Navigation Methods for Large Immersive Virtual Environments with Application to the Study of Human-Robot Teams
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
Bobby Bodenheimer Committee Chair
Benoit Dawant Committee Member
Amy Shelton Committee Member
Julie Adams Committee Member
Tim Mcnamara Committee Member
  • virtual reality
  • navigation system
  • human-robot team
  • spatial attention
  • spation memory
Date of Defense 2015-01-19
Availability unrestricted
Immersive virtual environment (IVE) systems have applications in many areas, such as training, physical therapy, and entertainment. This thesis examines a fundamental function in IVEs: navigation. We built and optimized a locomotion system that allows free exploration in large IVEs within a limited physically tracked space while maintaining users’ spatial orientation. We additionally examined bipedal locomotion systems versus non-locomotive interfaces as means of moving and navigating in an IVE to determine the costs and benefits of both.

This thesis then focused on an application: human-robot teaming scenarios involving locomotion and navigation. In particular, we examined how a human supervisor, in a search task, attends to robot teams, potentially large and/or geographically distributed. We examined how the presence of moving robots and an individual difference of navigation strategy affected people’s navigation ability when they were embedded with a large robot team. Our results advance cognitive findings in spatial attention division and spatial navigation of demanding scenarios. Our research may also provide important implications for the design of human-robot teams, and the command and control strategy of such teams.

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