{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105764"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105764","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Trust in human or machine? Exploring the effect of anthropomorphic cues on user self-disclosure toward a chatbot","abstract":"Smart technologies nowadays have more humanlike features (name, voice, personality, etc.). They interact with users more naturally and closely, collecting user data for further service. In a typical context, this study tests how anthropomorphic cues of a health service chatbot will influence users’ willingness to disclose their personal information. Different names (explicit anthropomorphic cue: “Sam”; implicit anthropomorphic cue: “Assistant No.1”; no anthropomorphic cue: “Chatbot”) were assigned to the same chatbot in each of the three conditions to see how they influence participants to evaluate their willingness to disclose a set of personal information. To further understand this mechanism, I explored the roles of contextual trust toward the chatbot and general dispositional trust toward people and technology. Results show that different anthropomorphic names assigned to the chatbot generated different levels of willingness to disclose. The mediation effect of trust toward the chatbot was not supported. General trust toward people and toward technology predict trust toward the chatbot differently across conditions.","abstract_html":"Smart technologies nowadays have more humanlike features (name, voice, personality, etc.). They interact with users more naturally and closely, collecting user data for further service. In a typical context, this study tests how anthropomorphic cues of a health service chatbot will influence users’ willingness to disclose their personal information. Different names (explicit anthropomorphic cue: “Sam”; implicit anthropomorphic cue: “Assistant No.1”; no anthropomorphic cue: “Chatbot”) were assigned to the same chatbot in each of the three conditions to see how they influence participants to evaluate their willingness to disclose a set of personal information. To further understand this mechanism, I explored the roles of contextual trust toward the chatbot and general dispositional trust toward people and technology. Results show that different anthropomorphic names assigned to the chatbot generated different levels of willingness to disclose. The mediation effect of trust toward the chatbot was not supported. General trust toward people and toward technology predict trust toward the chatbot differently across conditions.","abstract_has_math":false,"creators":["Liu, Weizi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Advertising","degree_department":null,"school":null,"contributors":["Yao, Mike Z"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-11-26T20:49:16Z","date_published":"2019-11-26T20:49:16Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Media Equation","CASA","Anthropomorphism","Self-disclosure"],"languages":["en"],"rights":["Copyright 2019, Weizi Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105764","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Yao, Mike Z"]},{"key":"dc:creator","label":"Author","values":["Liu, Weizi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-11-26T20:49:16Z","2021-11-27T10:15:33Z","2019-07-01","2019-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Advertising"]},{"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":["Media Equation","CASA","Anthropomorphism","Self-disclosure"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019, Weizi Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105764"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Smart technologies nowadays have more humanlike features (name, voice, personality, etc.). They interact with users more naturally and closely, collecting user data for further service. In a typical context, this study tests how anthropomorphic cues of a health service chatbot will influence users’ willingness to disclose their personal information. Different names (explicit anthropomorphic cue: “Sam”; implicit anthropomorphic cue: “Assistant No.1”; no anthropomorphic cue: “Chatbot”) were assigned to the same chatbot in each of the three conditions to see how they influence participants to evaluate their willingness to disclose a set of personal information. To further understand this mechanism, I explored the roles of contextual trust toward the chatbot and general dispositional trust toward people and technology. Results show that different anthropomorphic names assigned to the chatbot generated different levels of willingness to disclose. The mediation effect of trust toward the chatbot was not supported. General trust toward people and toward technology predict trust toward the chatbot differently across conditions.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01","The student, Weizi Liu, accepted the attached license on 2019-06-26 at 15:37.","The student, Weizi Liu, submitted this Thesis for approval on 2019-06-26 at 15:48.","This Thesis was approved for publication on 2019-07-01 at 11:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14091 on 2019-11-26 at 13:03:47","Made available in DSpace on 2019-11-26T20:49:16Z (GMT). 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They interact with users more naturally and closely, collecting user data for further service. In a typical context, this study tests how anthropomorphic cues of a health service chatbot will influence users’ willingness to disclose their personal information. Different names (explicit anthropomorphic cue: “Sam”; implicit anthropomorphic cue: “Assistant No.1”; no anthropomorphic cue: “Chatbot”) were assigned to the same chatbot in each of the three conditions to see how they influence participants to evaluate their willingness to disclose a set of personal information. To further understand this mechanism, I explored the roles of contextual trust toward the chatbot and general dispositional trust toward people and technology. Results show that different anthropomorphic names assigned to the chatbot generated different levels of willingness to disclose. The mediation effect of trust toward the chatbot was not supported. General trust toward people and toward technology predict trust toward the chatbot differently across conditions.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01","The student, Weizi Liu, accepted the attached license on 2019-06-26 at 15:37.","The student, Weizi Liu, submitted this Thesis for approval on 2019-06-26 at 15:48.","This Thesis was approved for publication on 2019-07-01 at 11:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14091 on 2019-11-26 at 13:03:47","Made available in DSpace on 2019-11-26T20:49:16Z (GMT). No. of bitstreams: 2 LIU-THESIS-2019.pdf: 641817 bytes, checksum: 17ef2d542e395fbc354e528e81cd7139 (MD5) LICENSE.txt: 4206 bytes, checksum: e2f17b46464224acedf6b00e82dc71e5 (MD5) Previous issue date: 2019-07-01","Embargo set by: Seth Robbins for item 112909 Lift date: 2021-11-26T20:49:41Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 112909 on 2021-11-27T10:15:33Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/105764"],"dc:language":["en"],"dc:rights":["Copyright 2019, Weizi Liu"],"dc:subject":["Media Equation","CASA","Anthropomorphism","Self-disclosure"],"dc:title":["Trust in human or machine? Exploring the effect of anthropomorphic cues on user self-disclosure toward a chatbot"],"dc:type":["text"],"thesis:degree_discipline":["Advertising"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:45Z"}