Training computers to read human faces : what artificial intelligence can teach us about first impressions
Abstract/Contents
- Abstract
- First impressions, such as a job interview or a meeting with a new client, involve making two kinds of inferences about the mind of a stranger. On the one hand, you may want to know what this new person is like, and on the other hand, you might be wondering how this individual sees you. In this dissertation, I demonstrate that artificial intelligence can make both of these social inferences more accurately than people can and explore how such developments may advance our scientific understanding
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Khambatta, Poruz |
|---|---|
| Degree supervisor | Kosinski, Michal |
| Thesis advisor | Kosinski, Michal |
| Thesis advisor | Halevy, Nir, 1979- |
| Thesis advisor | Miller, D. A. B |
| Degree committee member | Halevy, Nir, 1979- |
| Degree committee member | Miller, D. A. B |
| Associated with | Stanford University, Graduate School of Business. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Poruz Khambatta |
|---|---|
| Note | Submitted to the Graduate School of Business |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Poruz Khambatta
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