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Computing point-of-view : modeling and simulating judgments of taste

Author(s)
Liu, Xinyu Hugo, 1979-
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Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences
Advisor
Pattie Maes.
Terms of use
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
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Abstract
People have rich points-of-view that afford them the ability to judge the aesthetics of people, things, and everyday happenstance; yet viewpoint has an ineffable quality that is hard to articulate in words, let alone capture in computer models. Inspired by cultural theories of taste and identity, this thesis explores end-to-end computational modeling of people's tastes-from model acquisition, to generalization, to application- under various realms. Five aesthetical realms are considered-cultural taste, attitudes, ways of perceiving, taste for food, and sense-of-humor. A person's model is acquired by reading her personal texts, such as a weblog diary, a social network profile, or emails. To generalize a person model, methods such as spreading activation, analogy, and imprimer supplementation are applied to semantic resources and search spaces mined from cultural corpora. Once a generalized model is achieved, a person's tastes are brought to life through perspective-based applications, which afford the exploration of someone else's perspective through interactivity and play. The thesis describes model acquisition systems implemented for each of the five aesthetical realms.
 
(cont.) The techniques of 'reading for affective themes' (RATE), and 'culture mining' are described, along with their enabling technologies, which are commonsense reasoning and textual affect analysis. Finally, six perspective-based applications were implemented to illuminate a range of real-world beneficiaries to person modeling-virtual mentoring, self-reflection, and deep customization.
 
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.
 
Includes bibliographical references (p. 153-163).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/36158
Department
Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences
Publisher
Massachusetts Institute of Technology
Keywords
Architecture. Program In Media Arts and Sciences

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  • Media Arts and Sciences - Ph.D. / Sc.D.
  • Media Arts and Sciences - Ph.D. / Sc.D.

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