{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/99421"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/99421","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The design and implementation of a visual analytics task to support experimental research on human reasoning with uncertain knowledge","abstract":"This research project involved designing and implementing a web-based application to support research using visual analytics, or the use of interactive visualizations, to support human cognition. More specifically, the interactive visualization that was created was motivated by the problem that humans often express overconfidence in both judgments and predictions based on uncertain knowledge. The interactive visualization presents experimental participants with a series of binary (yes/no, T/F, etc.) general knowledge or prediction questions, and requires participants to answer these questions and also provide a probability or confidence estimate between 50% and 100%. The output of the software created is a quantitative measure of human performance in terms of both accuracy and latency. This web-based application, which can also be used in stand-alone (non-networked) mode, is expected to pave the way for a set of additional future research projects involving experiments with human participants, with the eventual goal of interface design approaches and guidelines for eliciting unbiased information from knowledgeable people when either their subjective knowledge or the judgment or prediction task itself is characterized by uncertainty.","abstract_html":"This research project involved designing and implementing a web-based application to support research using visual analytics, or the use of interactive visualizations, to support human cognition. More specifically, the interactive visualization that was created was motivated by the problem that humans often express overconfidence in both judgments and predictions based on uncertain knowledge. The interactive visualization presents experimental participants with a series of binary (yes/no, T/F, etc.) general knowledge or prediction questions, and requires participants to answer these questions and also provide a probability or confidence estimate between 50% and 100%. The output of the software created is a quantitative measure of human performance in terms of both accuracy and latency. This web-based application, which can also be used in stand-alone (non-networked) mode, is expected to pave the way for a set of additional future research projects involving experiments with human participants, with the eventual goal of interface design approaches and guidelines for eliciting unbiased information from knowledgeable people when either their subjective knowledge or the judgment or prediction task itself is characterized by uncertainty.","abstract_has_math":false,"creators":["Feng, Shuo"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Kirlik, Alex","Varshney, Lar V"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-03-13T15:49:15Z","date_published":"2018-03-13T15:49:15Z","updated_at":"2026-07-22T22:24:37Z","subjects":["Human-computer interaction"],"languages":["en"],"rights":["Copyright 2017 Shuo Feng"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/99421","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kirlik, Alex","Varshney, Lar V"]},{"key":"dc:creator","label":"Author","values":["Feng, Shuo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-03-13T15:49:15Z","2017-12-12","2017-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Human-computer interaction"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Shuo Feng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/99421"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This research project involved designing and implementing a web-based application to support research using visual analytics, or the use of interactive visualizations, to support human cognition. More specifically, the interactive visualization that was created was motivated by the problem that humans often express overconfidence in both judgments and predictions based on uncertain knowledge. The interactive visualization presents experimental participants with a series of binary (yes/no, T/F, etc.) general knowledge or prediction questions, and requires participants to answer these questions and also provide a probability or confidence estimate between 50% and 100%. The output of the software created is a quantitative measure of human performance in terms of both accuracy and latency. This web-based application, which can also be used in stand-alone (non-networked) mode, is expected to pave the way for a set of additional future research projects involving experiments with human participants, with the eventual goal of interface design approaches and guidelines for eliciting unbiased information from knowledgeable people when either their subjective knowledge or the judgment or prediction task itself is characterized by uncertainty.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-03-13 without embargo terms","The student, Shuo Feng, accepted the attached license on 2017-12-11 at 21:00.","The student, Shuo Feng, submitted this Thesis for approval on 2017-12-11 at 21:01.","This Thesis was approved for publication on 2017-12-12 at 09:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11950 on 2018-03-13 at 10:12:18","Made available in DSpace on 2018-03-13T15:49:15Z (GMT). No. of bitstreams: 2 FENG-THESIS-2017.pdf: 570832 bytes, checksum: 41f13f85978be6d8bb61de1f30f543e2 (MD5) LICENSE.txt: 4206 bytes, checksum: 6c47341990c22ea665a53fe9490691c8 (MD5) Previous issue date: 2017-12-12"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The design and implementation of a visual analytics task to support experimental research on human reasoning with uncertain knowledge"]}]}],"canonical_facts":{"dc:contributor":["Kirlik, Alex","Varshney, Lar V"],"dc:creator":["Feng, Shuo"],"dc:date":["2018-03-13T15:49:15Z","2017-12-12","2017-12"],"dc:description":["This research project involved designing and implementing a web-based application to support research using visual analytics, or the use of interactive visualizations, to support human cognition. More specifically, the interactive visualization that was created was motivated by the problem that humans often express overconfidence in both judgments and predictions based on uncertain knowledge. The interactive visualization presents experimental participants with a series of binary (yes/no, T/F, etc.) general knowledge or prediction questions, and requires participants to answer these questions and also provide a probability or confidence estimate between 50% and 100%. The output of the software created is a quantitative measure of human performance in terms of both accuracy and latency. This web-based application, which can also be used in stand-alone (non-networked) mode, is expected to pave the way for a set of additional future research projects involving experiments with human participants, with the eventual goal of interface design approaches and guidelines for eliciting unbiased information from knowledgeable people when either their subjective knowledge or the judgment or prediction task itself is characterized by uncertainty.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-03-13 without embargo terms","The student, Shuo Feng, accepted the attached license on 2017-12-11 at 21:00.","The student, Shuo Feng, submitted this Thesis for approval on 2017-12-11 at 21:01.","This Thesis was approved for publication on 2017-12-12 at 09:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11950 on 2018-03-13 at 10:12:18","Made available in DSpace on 2018-03-13T15:49:15Z (GMT). No. of bitstreams: 2 FENG-THESIS-2017.pdf: 570832 bytes, checksum: 41f13f85978be6d8bb61de1f30f543e2 (MD5) LICENSE.txt: 4206 bytes, checksum: 6c47341990c22ea665a53fe9490691c8 (MD5) Previous issue date: 2017-12-12"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/99421"],"dc:language":["en"],"dc:rights":["Copyright 2017 Shuo Feng"],"dc:subject":["Human-computer interaction"],"dc:title":["The design and implementation of a visual analytics task to support experimental research on human reasoning with uncertain knowledge"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:37Z"}