{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/37099"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/37099","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"A Web application to improve emotional awareness in high-functioning autistics","abstract":"The web application built here is based on the idea of presenting scenarios to users, using text, and having the users choose likely emotions that match the scenarios. Taken for granted by most neurotypical people, high-functioning autistics are often lacking in this area of social-skill development. This idea of emotion to scenario matching is accomplished using a series of different games that take different approaches to exercise these skills. The application relies on the two main Artificial Intelligence (AI) approaches. The first AI approach is classical, relying on computer-based algorithms developed by others to judge text and put out the correct affect or emotion. The other part of the AI relies on users of the system contributing via regular usage or explicit correction to train the system in a type of feedback loop.","abstract_html":"The web application built here is based on the idea of presenting scenarios to users, using text, and having the users choose likely emotions that match the scenarios. Taken for granted by most neurotypical people, high-functioning autistics are often lacking in this area of social-skill development. This idea of emotion to scenario matching is accomplished using a series of different games that take different approaches to exercise these skills. The application relies on the two main Artificial Intelligence (AI) approaches. The first AI approach is classical, relying on computer-based algorithms developed by others to judge text and put out the correct affect or emotion. The other part of the AI relies on users of the system contributing via regular usage or explicit correction to train the system in a type of feedback loop.","abstract_has_math":false,"creators":["Sonuyi, Temitope O"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Henry Lieberman."],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006","date_published":"2006","updated_at":"2026-07-22T22:20:44Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/37099","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Henry Lieberman."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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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."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/37099"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.","Leaf 116 blank.","Includes bibliographical references (leaf 64)."]},{"key":"dc:description.abstract","label":"Abstract","values":["The web application built here is based on the idea of presenting scenarios to users, using text, and having the users choose likely emotions that match the scenarios. Taken for granted by most neurotypical people, high-functioning autistics are often lacking in this area of social-skill development. This idea of emotion to scenario matching is accomplished using a series of different games that take different approaches to exercise these skills. The application relies on the two main Artificial Intelligence (AI) approaches. The first AI approach is classical, relying on computer-based algorithms developed by others to judge text and put out the correct affect or emotion. The other part of the AI relies on users of the system contributing via regular usage or explicit correction to train the system in a type of feedback loop."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["A Web application to improve emotional awareness in high-functioning autistics"]}]}],"canonical_facts":{"dc:contributor.advisor":["Henry Lieberman."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:creator":["Sonuyi, Temitope O"],"dc:date.accessioned":["2007-04-03T17:11:24Z"],"dc:date.available":["2007-04-03T17:11:24Z"],"dc:date.issued":["2006"],"dc:description":["Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.","Leaf 116 blank.","Includes bibliographical references (leaf 64)."],"dc:description.abstract":["The web application built here is based on the idea of presenting scenarios to users, using text, and having the users choose likely emotions that match the scenarios. Taken for granted by most neurotypical people, high-functioning autistics are often lacking in this area of social-skill development. This idea of emotion to scenario matching is accomplished using a series of different games that take different approaches to exercise these skills. The application relies on the two main Artificial Intelligence (AI) approaches. The first AI approach is classical, relying on computer-based algorithms developed by others to judge text and put out the correct affect or emotion. The other part of the AI relies on users of the system contributing via regular usage or explicit correction to train the system in a type of feedback loop."],"dc:description.degree":["M.Eng."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/37099"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["A Web application to improve emotional awareness in high-functioning autistics"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:20:44Z"}