Knowledge trading : computational support for individual and collaborative sense-making activities
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28807 |
| _version_ | 1811093192764817408 |
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| author | Keel, Paul E. (Paul Erich) |
| author2 | William L. Porter. |
| author_facet | William L. Porter. Keel, Paul E. (Paul Erich) |
| author_sort | Keel, Paul E. (Paul Erich) |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2004. |
| first_indexed | 2024-09-23T15:41:08Z |
| format | Thesis |
| id | mit-1721.1/28807 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:41:08Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/288072019-04-10T11:15:43Z Knowledge trading : computational support for individual and collaborative sense-making activities Keel, Paul E. (Paul Erich) William L. Porter. Massachusetts Institute of Technology. Dept. of Architecture. Massachusetts Institute of Technology. Dept. of Architecture. Architecture. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2004. Includes bibliographical references (leaves 127-132). (cont.) outlined. 2. Demonstration that computer systems can use the discovered relations among data items to help users search for relevant information, prioritize the data exchange between collaborating users, and visualize data in various ways. This investigation looks at how a human's increasing knowledge about a problem space is influential in the subsequent accumulation of new data. The findings are converted into computational equivalents that can support individual and collaborative sense-making processes. This dissertation explores the potential for computational systems to analyze and support individual and collaborative human sense-making activities. In this context human sense-making refers to the act of mentally and physically relating pieces of information so as to develop an understanding of a particular situation. Human sense-making activities such as brainstorming, decision-making, and problem solving sessions often produce a lot of data such as notes, sketches, and documents. The participants of sense-making activities usually develop a good understanding of the relations among these individual data items. These relations define the context. Because the relations remain within the minds of the participants they are neither accessible to outsiders and computational systems nor can they be recorded or backed up. This dissertation outlines a first set of computational mechanisms that construct relations from the spatial arrangement, use, and storage of data items. A second set of computational mechanisms takes advantage of these relations by helping users to keep track of, search for, exchange, arrange, and visualize data items. The computational mechanisms are both adaptive and evocative, meaning that the computational mechanisms dynamically adapt to users and changing circumstances while also trying to influence the human sense-making process. Contributions: 1. Demonstration that computer systems can discover probable relations among data items from their spatial arrangement and use by users. This work identifies and analyzes various human mental processes involved in the determination of possible relations among data items such as documents on a work desk or files in a computer system. A computational equivalent is proposed for every mental process by Paul Erich Keel. Ph.D. 2005-09-27T18:27:19Z 2005-09-27T18:27:19Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28807 60314500 en_US 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 132 leaves 10925222 bytes 10942293 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Architecture. Keel, Paul E. (Paul Erich) Knowledge trading : computational support for individual and collaborative sense-making activities |
| title | Knowledge trading : computational support for individual and collaborative sense-making activities |
| title_full | Knowledge trading : computational support for individual and collaborative sense-making activities |
| title_fullStr | Knowledge trading : computational support for individual and collaborative sense-making activities |
| title_full_unstemmed | Knowledge trading : computational support for individual and collaborative sense-making activities |
| title_short | Knowledge trading : computational support for individual and collaborative sense-making activities |
| title_sort | knowledge trading computational support for individual and collaborative sense making activities |
| topic | Architecture. |
| url | http://hdl.handle.net/1721.1/28807 |
| work_keys_str_mv | AT keelpaulepaulerich knowledgetradingcomputationalsupportforindividualandcollaborativesensemakingactivities |