Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/106082 |
| _version_ | 1811091414630531072 |
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| author | Lim, Chong-U |
| author2 | D. Fox Harrell. |
| author_facet | D. Fox Harrell. Lim, Chong-U |
| author_sort | Lim, Chong-U |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T15:02:02Z |
| format | Thesis |
| id | mit-1721.1/106082 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:02:02Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1060822019-04-11T05:52:58Z Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development Me, my Avatar(s), and artificial intelligence Lim, Chong-U D. Fox Harrell. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 291-305). As computers continue to increase in adoption and usage, people are spending large amounts of their time interacting in virtual environments. In such environments, people often make use of and represent themselves with virtual identities such as online shopping accounts, social networking profiles, and video game avatars. Despite being technically "virtual," research has shown that virtual identities can reflect and influence peoples' values and preferences that they possess outside of virtual environments (i.e., the "real world"). It is a major challenge to identify and quantify such values and preferences. While qualitative methods (e.g., self-reported surveys) may be employed to gain insight into users' preferences, they are often intrusive and may be subject to survey bias. I present a data-driven approach that combines artificial intelligence (AI) techniques with cognitive categorization theories to develop computational models of users' values and preferences. Such models overcome the aforementioned limitations-and more importantly-enable new ways for such insights to be obtained and understood. For example, they can concretely model how much an application like a videogame may be implicitly biased against a particular user group by analyzing its underlying data structures; they can also be used to reveal how users conform to or subvert conventions by analyzing telemetry data collected from a given application. The software developed for this research can be viewed as computational tools for social analysis. They can enable developers to concretely evaluate if a given system is inequitable (e.g., marginalizing a particular user group); they can also be used to guide developers in resolving such issues. This dissertation includes a comprehensive report on several case-studies of applying these approaches and tools to both (a) publicly available data from commercial sources and (b) data obtained from self-designed experiments conducted in laboratory settings by Chong-U Lim. Ph. D. 2016-12-22T16:28:15Z 2016-12-22T16:28:15Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106082 965247858 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 305 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lim, Chong-U Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title | Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title_full | Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title_fullStr | Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title_full_unstemmed | Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title_short | Me, my Avatar(s), and Al : computational models of users and virtual identities for analysis, design, and development |
| title_sort | me my avatar s and al computational models of users and virtual identities for analysis design and development |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106082 |
| work_keys_str_mv | AT limchongu memyavatarsandalcomputationalmodelsofusersandvirtualidentitiesforanalysisdesignanddevelopment AT limchongu memyavatarsandartificialintelligence |