{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/44238"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/44238","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Visualizations for computer mediated group conversations: exploring the influences of aggregated and articulated data visibility on group dynamics","abstract":"Groups are becoming increasingly geographically distributed and consequently, computer mediated group conversations are also becoming increasingly distributed. There has been much research that has focused on visualizations that would best assist such computer mediated conversations. Additionally, several theories about group conversations and visualizations have also been developed. In this research, we explore the applicability of one theory in particular called the Social Translucence Theory, which, amongst other things, advocates that individuals in group conversations attempt to conform to the group’s dynamic when individual level information is made available publicly to the entire group. The theory also states that one of the main reasons behind such behavior is the sense of accountability that accompanies making individual level information public. We present a study designed to investigate if the effects of Social Translucence theory can co-exist with anonymity and if group conformity occurs even without individual level information being made public. We found that user behavior patterns did not exhibit significant differences in the two conditions with different levels of data visibility, which suggests that anonymity and accountability in group conversations might not be as key a factor as previously thought to be. In this thesis, we discuss the following: 1) Group conversation theories 2) Experiment rationale and design, 3) visualizations to accompany group conversations and 4) study results.","abstract_html":"Groups are becoming increasingly geographically distributed and consequently, computer mediated group conversations are also becoming increasingly distributed. There has been much research that has focused on visualizations that would best assist such computer mediated conversations. Additionally, several theories about group conversations and visualizations have also been developed. In this research, we explore the applicability of one theory in particular called the Social Translucence Theory, which, amongst other things, advocates that individuals in group conversations attempt to conform to the group’s dynamic when individual level information is made available publicly to the entire group. The theory also states that one of the main reasons behind such behavior is the sense of accountability that accompanies making individual level information public. We present a study designed to investigate if the effects of Social Translucence theory can co-exist with anonymity and if group conformity occurs even without individual level information being made public. We found that user behavior patterns did not exhibit significant differences in the two conditions with different levels of data visibility, which suggests that anonymity and accountability in group conversations might not be as key a factor as previously thought to be. In this thesis, we discuss the following: 1) Group conversation theories 2) Experiment rationale and design, 3) visualizations to accompany group conversations and 4) study results.","abstract_has_math":false,"creators":["Krishnan, Manoj"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Karahalios, Karrie G."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-05-24T21:55:12Z","date_published":"2013-05-24T21:55:12Z","updated_at":"2026-07-22T22:25:33Z","subjects":["Visualization","Visualizations for Group Conversations","Social Translucence Theory","Group Dynamics","Data Visibility","Human-Computer Interaction","Social Networks"],"languages":["en"],"rights":["Copyright 2013 Manoj Krishnan"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/44238","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Karahalios, Karrie G."]},{"key":"dc:creator","label":"Author","values":["Krishnan, Manoj"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2013-05-24T21:55:12Z","2013-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"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":["Visualization","Visualizations for Group Conversations","Social Translucence Theory","Group Dynamics","Data Visibility","Human-Computer Interaction","Social Networks"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2013 Manoj Krishnan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/44238"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Groups are becoming increasingly geographically distributed and consequently, computer mediated group conversations are also becoming increasingly distributed. 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We found that user behavior patterns did not exhibit significant differences in the two conditions with different levels of data visibility, which suggests that anonymity and accountability in group conversations might not be as key a factor as previously thought to be. In this thesis, we discuss the following: 1) Group conversation theories 2) Experiment rationale and design, 3) visualizations to accompany group conversations and 4) study results.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-18T22:47:18Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Krishnan_Manoj.docx: 2990858 bytes, checksum: 75c2f38458dfaf7a807463db7d599f22 (MD5) Krishnan_Manoj.pdf: 1741793 bytes, checksum: d3c3823c1493e44bad34625e762f40b5 (MD5)","Made available in DSpace on 2013-05-24T21:55:12Z (GMT). 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We found that user behavior patterns did not exhibit significant differences in the two conditions with different levels of data visibility, which suggests that anonymity and accountability in group conversations might not be as key a factor as previously thought to be. In this thesis, we discuss the following: 1) Group conversation theories 2) Experiment rationale and design, 3) visualizations to accompany group conversations and 4) study results.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-18T22:47:18Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Krishnan_Manoj.docx: 2990858 bytes, checksum: 75c2f38458dfaf7a807463db7d599f22 (MD5) Krishnan_Manoj.pdf: 1741793 bytes, checksum: d3c3823c1493e44bad34625e762f40b5 (MD5)","Made available in DSpace on 2013-05-24T21:55:12Z (GMT). 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