Social signaling in decision making
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2006
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Online Access: | http://hdl.handle.net/1721.1/32502 |
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author | Caneel, Ron |
author2 | Alex P. Pentland and Dan Ariely. |
author_facet | Alex P. Pentland and Dan Ariely. Caneel, Ron |
author_sort | Caneel, Ron |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005. |
first_indexed | 2024-09-23T11:38:25Z |
format | Thesis |
id | mit-1721.1/32502 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T11:38:25Z |
publishDate | 2006 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/325022019-04-12T11:54:32Z Social signaling in decision making Caneel, Ron Alex P. Pentland and Dan Ariely. 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, 2005. Includes bibliographical references (p. 55-60). Nonverbal communication is an important and often underestimated instrument in social interactions. The paralinguistic elements of speech, which are described in common speech as "tone of voice", are one channel of the nonverbal communication. They, together with conversational dynamics, are a very powerful measurement for interactions, without looking at the content of the conversation. A subset of these features, the social signaling measurements, are very useful when analyzing and quantifying conversation. The goal of this thesis is to better understand the framework of social signaling. We applied the social signaling measurements to negotiations as well as to small group interactions. For negotiation we were able to predict up to 30% of the variance in individual outcome. The use of automated algorithms enables to build real-time feedback mechanisms that can then help users to improve and achieve their objectives. by Ron Caneel. S.M. 2006-03-29T18:50:30Z 2006-03-29T18:50:30Z 2005 2005 Thesis http://hdl.handle.net/1721.1/32502 61896741 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 60 p. 2847072 bytes 2848694 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Architecture. Program In Media Arts and Sciences Caneel, Ron Social signaling in decision making |
title | Social signaling in decision making |
title_full | Social signaling in decision making |
title_fullStr | Social signaling in decision making |
title_full_unstemmed | Social signaling in decision making |
title_short | Social signaling in decision making |
title_sort | social signaling in decision making |
topic | Architecture. Program In Media Arts and Sciences |
url | http://hdl.handle.net/1721.1/32502 |
work_keys_str_mv | AT caneelron socialsignalingindecisionmaking |