Grounding for a computational model of place
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2007
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Online Access: | http://hdl.handle.net/1721.1/37395 |
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author | Hockenberry, Matthew Curtis |
author2 | Ted Selker. |
author_facet | Ted Selker. Hockenberry, Matthew Curtis |
author_sort | Hockenberry, Matthew Curtis |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006. |
first_indexed | 2024-09-23T16:37:34Z |
format | Thesis |
id | mit-1721.1/37395 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T16:37:34Z |
publishDate | 2007 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/373952019-04-10T13:40:24Z Grounding for a computational model of place Hockenberry, Matthew Curtis Ted Selker. Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences Architecture. Program In Media Arts and Sciences Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006. Text printed 2 columns per page. Includes bibliographical references (leaves 66-70). Places are spatial locations that have been given meaning by human experience. The sense of a place is it's support for experiences and the emotional responses associated with them. This sense provides direction and focus for our daily lives. Physical maps and their electronic decedents deconstruct places into discrete data and require user interpretation to reconstruct the original sense of place. Is it possible to create maps that preserve this sense of place and successfully communicate it to the user? This thesis presents a model, and an application upon that model, that captures sense of place for translation, rather then requires the user to recreate it from disparate data. By grounding a human place-sense for machine interpretation, new presentations of space can be presented that more accurately mirror human cognitive conceptions. By using measures of semantic distance a user can observe the proximity of place not only in distance but also by context or association. Applications built upon this model can then construct representations that show places that are similar in feeling or reasonable destinations given the user's current location. (cont.) To accomplish this, the model attempts to understand place in the context a human might by using commonsense reasoning to analyze textual descriptions of place, and implicit statements of support for the role of these places in natural activity. It produces a semantic description of a place in terms of human action and emotion. Representations built upon these descriptions can offer powerful changes in the cognitive processing of space. Matthew Curtis Hockenberry. S.M. 2007-05-16T18:30:09Z 2007-05-16T18:30:09Z 2006 2006 Thesis http://hdl.handle.net/1721.1/37395 122912099 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 70 leaves application/pdf Massachusetts Institute of Technology |
spellingShingle | Architecture. Program In Media Arts and Sciences Hockenberry, Matthew Curtis Grounding for a computational model of place |
title | Grounding for a computational model of place |
title_full | Grounding for a computational model of place |
title_fullStr | Grounding for a computational model of place |
title_full_unstemmed | Grounding for a computational model of place |
title_short | Grounding for a computational model of place |
title_sort | grounding for a computational model of place |
topic | Architecture. Program In Media Arts and Sciences |
url | http://hdl.handle.net/1721.1/37395 |
work_keys_str_mv | AT hockenberrymatthewcurtis groundingforacomputationalmodelofplace |