Extended Augmented Reality: Autonomous Virtual Behaviors and Extrasensory Perceptions Integrated Into Ad Hoc Spaces

Abstract

Augmented reality (AR) technology has been in development for several decades, and ONR hashelped lead the way in developing better"" hardware and software to augment the real world withvirtual elements and entities. Today s AR systems are moving toward wireless,"" largely selfcontained,and supportive of multiple co-located users. There is a new promise of turn-key systemsincluding software e""cosystems. Yet state-of-the-art AR is limited in at least two respects.First, conventional AR is primarily focused on the individua""l user, with a pre-programmed realvirtualsimulation that is both unaware of dynamic events and objects in the real world, and unabl""eto affect events and object in the real world. Second, conventional AR is primarily focused onrepresenting virtual entities simul""ating physical entities, for example virtual humans and objectssimulating their real counterparts, or supplementing real entities w"ith virtualhighlights/annotations directly related to the real entities. The objective of this research effort is toextend conventional AR to address these two limitations. First it will transform AR from asolely egocentric paradigm to a hybrid ego/exocentric paradigm where distributed ARInput/Output (ARIO) units carry out multi-modal signal detection and estimation that enablesvirtual en"tities to be aware of and automatically respond to real events, objects, and peoplethroughout the environment; and multi-modal sign""al synthesis and display that enables virtualentities to autonomously affect real events, objects, and people throughout the real e"nvironment.Second it will leverage this novel I/O capability to develop new human factors-based visualizationand interaction metho"ds for using AR to modify one s perceptions of the real world, and extendone s perceptions to include otherwise imperceptible infor"mation and sensed signals. Thedeveloped technologies will enable a spectrum of near-field and wide-area AR applicationsincluding a"d-hoc in-situ training in existing actual urban environments to make the training ofsailors and Marines more flexible, varied, dyna""mic, and cost effective.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 20, 2017
Source ID
N000141812927

Entities

People

  • Gregory C Welch

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Central Florida Board of Trustees

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Military Logistics and Supply Chain Management

Technology Areas

  • Space