{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129969"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129969","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"AI-faces by Illinois: a database of AI-generated faces depicting children","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms","abstract_has_math":false,"creators":["Chao, Tim Wei-Ting"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Rizzo, Michael T.","Straka, Brenda C"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-07-21","date_published":"2025-07-21","updated_at":"2026-07-22T22:25:06Z","subjects":["Child Faces","Face Database","Artificial Intelligence","Ai","Stimuli"],"languages":["en","eng"],"rights":["Copyright 2025 Tim (Wei-Ting) Chao"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129969","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rizzo, Michael T.","Straka, Brenda C"]},{"key":"dc:creator","label":"Author","values":["Chao, Tim Wei-Ting"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-07-21","2025-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"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 Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Child Faces","Face Database","Artificial Intelligence","Ai","Stimuli"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Tim (Wei-Ting) Chao"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129969"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms","The student, Tim Chao, accepted the attached license on 2025-07-21 at 11:02.","The student, Tim Chao, submitted this Thesis for approval on 2025-07-21 at 11:10.","This Thesis was approved for publication on 2025-07-21 at 16:33.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22673 on 2025-10-20 at 20:15:32","Human faces serve as gateways of impression formation during human interactions and are widely used in psychological research. However, existing databases using real images of children could constrain the types of research questions that can be ethically pursued and potentially raises concerns particularly regarding the use of children’s faces without fully informed consent. The present paper introduces “AI-Faces by Illinois”— a database of 1,152 photorealistic, AI-generated child faces. These images vary systematically by perceived age (3, 6, 10, 15 years), gender (male, female), race/ethnicity (Black, East Asian, Latino/a/e, Middle Eastern/North African, Native American, Pacific Islander, South Asian, White), and emotional expression (10 smiling, 4 angry, 4 sad per group). A norming study provides subjective ratings of each image along key psychological dimensions. Critically, results indicate that faces across race and gender groups were rated as equally real, and many well-documented perceptual biases observed with real faces—such as the Own-Race Bias—also generalize to AI-generated faces. These validation data highlight methodological advantages of using AI-generated child faces in developmental psychology research."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["AI-faces by Illinois: a database of AI-generated faces depicting children"]}]}],"canonical_facts":{"dc:contributor":["Rizzo, Michael T.","Straka, Brenda C"],"dc:creator":["Chao, Tim Wei-Ting"],"dc:date":["2025-07-21","2025-08"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms","The student, Tim Chao, accepted the attached license on 2025-07-21 at 11:02.","The student, Tim Chao, submitted this Thesis for approval on 2025-07-21 at 11:10.","This Thesis was approved for publication on 2025-07-21 at 16:33.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22673 on 2025-10-20 at 20:15:32","Human faces serve as gateways of impression formation during human interactions and are widely used in psychological research. However, existing databases using real images of children could constrain the types of research questions that can be ethically pursued and potentially raises concerns particularly regarding the use of children’s faces without fully informed consent. The present paper introduces “AI-Faces by Illinois”— a database of 1,152 photorealistic, AI-generated child faces. These images vary systematically by perceived age (3, 6, 10, 15 years), gender (male, female), race/ethnicity (Black, East Asian, Latino/a/e, Middle Eastern/North African, Native American, Pacific Islander, South Asian, White), and emotional expression (10 smiling, 4 angry, 4 sad per group). A norming study provides subjective ratings of each image along key psychological dimensions. Critically, results indicate that faces across race and gender groups were rated as equally real, and many well-documented perceptual biases observed with real faces—such as the Own-Race Bias—also generalize to AI-generated faces. These validation data highlight methodological advantages of using AI-generated child faces in developmental psychology research."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129969"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Tim (Wei-Ting) Chao"],"dc:subject":["Child Faces","Face Database","Artificial Intelligence","Ai","Stimuli"],"dc:title":["AI-faces by Illinois: a database of AI-generated faces depicting children"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:06Z"}