{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/125596"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/125596","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Integrating technological innovations with advances in vocational interest research: Development of a career guidance chatbot prototype","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms","abstract_has_math":false,"creators":["Chu, Chu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Rounds, James","Oswald, Frederick","Fraley, Chris","Zhang, Bo","Hoff, Kevin","Sun, Tianjun"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-07-10","date_published":"2024-07-10","updated_at":"2026-07-22T22:25:02Z","subjects":["Vocational Interests","Measurement","Chatbot","Natural Language Processing","Large Language Models","Machine Learning","Career Guidance"],"languages":["en","eng"],"rights":["Copyright 2024 Chu Chu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/125596","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rounds, James","Oswald, Frederick","Fraley, Chris","Zhang, Bo","Hoff, Kevin","Sun, Tianjun"]},{"key":"dc:creator","label":"Author","values":["Chu, Chu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-07-10","2024-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Vocational Interests","Measurement","Chatbot","Natural Language Processing","Large Language Models","Machine Learning","Career Guidance"]}]},{"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 2024 Chu Chu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/125596"]}]},{"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 2025-02-04 without embargo terms","The student, Chu Chu, accepted the attached license on 2024-07-09 at 16:01.","The student, Chu Chu, submitted this Dissertation for approval on 2024-07-09 at 16:26.","This Dissertation was approved for publication on 2024-07-10 at 16:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21020 on 2025-02-04 at 21:04:47","Under the background of job market turmoil and rapid advancements in technology, there is an increasing need for career guidance amongst U.S. workers. This dissertation advances the field of vocational interest measurement in the context of career counseling by building three sets of tools that are designed to work together for assessing person-occupation (P-O) fit through chat-based text data. Study 1 presents the Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET), a survey instrument connecting basic interests with ONET’s occupational knowledge variables for assessing P-O fit. Study 2 Part 1 details the design of the Career Guidance Chatbot (CGC-bot), an AI-powered conversational agent that collects diverse, valuable work preference information from users. Lastly, Study 2 Part 2 leverages Natural Language Processing (NLP) & Machine Learning (ML) techniques for building twenty machines that effectively predict basic interest scores from users’ chat history with the CGC-bot. Subsequently, these machine-predicted scores were connected to the O*NET data through the CABIN-NET framework, ultimately offering suitable O*NET occupation suggestions. Therefore, this dissertation provides innovative and useful tools for people who need efficient yet detailed career guidance. Furthermore, this work sets the benchmark for future research that aims to measure vocational interest with non-traditional data types, and it paved paths for numerous research fronts for advancing interest measurement in the new era."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Integrating technological innovations with advances in vocational interest research: Development of a career guidance chatbot prototype"]}]}],"canonical_facts":{"dc:contributor":["Rounds, James","Oswald, Frederick","Fraley, Chris","Zhang, Bo","Hoff, Kevin","Sun, Tianjun"],"dc:creator":["Chu, Chu"],"dc:date":["2024-07-10","2024-08"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms","The student, Chu Chu, accepted the attached license on 2024-07-09 at 16:01.","The student, Chu Chu, submitted this Dissertation for approval on 2024-07-09 at 16:26.","This Dissertation was approved for publication on 2024-07-10 at 16:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21020 on 2025-02-04 at 21:04:47","Under the background of job market turmoil and rapid advancements in technology, there is an increasing need for career guidance amongst U.S. workers. This dissertation advances the field of vocational interest measurement in the context of career counseling by building three sets of tools that are designed to work together for assessing person-occupation (P-O) fit through chat-based text data. Study 1 presents the Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET), a survey instrument connecting basic interests with ONET’s occupational knowledge variables for assessing P-O fit. Study 2 Part 1 details the design of the Career Guidance Chatbot (CGC-bot), an AI-powered conversational agent that collects diverse, valuable work preference information from users. Lastly, Study 2 Part 2 leverages Natural Language Processing (NLP) & Machine Learning (ML) techniques for building twenty machines that effectively predict basic interest scores from users’ chat history with the CGC-bot. Subsequently, these machine-predicted scores were connected to the O*NET data through the CABIN-NET framework, ultimately offering suitable O*NET occupation suggestions. Therefore, this dissertation provides innovative and useful tools for people who need efficient yet detailed career guidance. Furthermore, this work sets the benchmark for future research that aims to measure vocational interest with non-traditional data types, and it paved paths for numerous research fronts for advancing interest measurement in the new era."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/125596"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Chu Chu"],"dc:subject":["Vocational Interests","Measurement","Chatbot","Natural Language Processing","Large Language Models","Machine Learning","Career Guidance"],"dc:title":["Integrating technological innovations with advances in vocational interest research: Development of a career guidance chatbot prototype"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:02Z"}