Spatial experience in humans and machines

Spatial experience is the process by which we locate ourselves within our environment, and understand and interact with it. Understanding spatial experience has been a major endeavor within the social sciences, the arts, and architecture throughout history, giving rise to recent theories of embodied and enacted cognition. Understanding spatial experience has also been a pursuit of computer science. However, despite substantial advances in artificial intelligence and computer vision, there has yet to be a computational model of human spatial experience. What are the computations involved in human spatial experience? Can we develop machines that can describe and represent spatial experience? In this dissertation, I take a step towards developing a computational account of human spatial experience and outline the steps for developing machine spatial experience.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Architecture

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Zaman, C̦ağrı Hakan.

Advisor dc:contributor.advisor

• Terry Knight and Randall Davis.

• Architecture.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129880

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129880