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Massachusetts Institute of Technology

Editing reality made easy

Abstract

dc:description.abstract

The Reality Editor is a system based around the concept that physical objects may serve augmented reality web interfaces while communicating information about their state to the local environment. Its combination of an augmented reality web browser with an object messaging system leads to high usability and simplicity. In my contribution to the project, I reduce the difficulty of creating and controlling compelling augmented reality Internet of Things experiences using the Reality Editor. I simplify the creation process through three areas of work: creating reusable user interface components, designing an in-browser editor, and implementing a drag-and-drop in-app editor. My work on enhancing control takes two forms: developing an object memory system and integrating networked cameras. Finally, I improve the Reality Editor as a whole through a series of efforts targeting its documentation, performance, and reliability.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hobin, James Keat
Advisor dc:contributor.advisor
  • Pattie Maes.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/113151
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/113151

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hobin, James Keat. Editing reality made easy. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113151