{"id":"https://openalex.org/W7153753163","doi":"https://doi.org/10.1145/3772363.3798320","title":"Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations","display_name":"Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153753163","doi":"https://doi.org/10.1145/3772363.3798320"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798320","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772363.3798320","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065121972","display_name":"Tung Thanh Ngo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Tung Ngo","raw_affiliation_strings":["School of Computer Science, Technological University Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0009-0004-0065-8600","affiliations":[{"raw_affiliation_string":"School of Computer Science, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133439047","display_name":"Anh Minh Nguyen","orcid":"https://orcid.org/0009-0005-5091-7401"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Anh Minh Nguyen","raw_affiliation_strings":["University College Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0009-0005-5091-7401","affiliations":[{"raw_affiliation_string":"University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111428239","display_name":"Dai Nguyen Van","orcid":null},"institutions":[{"id":"https://openalex.org/I138622004","display_name":"National Economics University","ror":"https://ror.org/021xbwv17","country_code":"VN","type":"education","lineage":["https://openalex.org/I138622004"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dai Nguyen Van","raw_affiliation_strings":["National Economics University, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-6128-5335","affiliations":[{"raw_affiliation_string":"National Economics University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I138622004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125027113","display_name":"Anh Nguyen-Quoc","orcid":null},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Anh Nguyen-Quoc","raw_affiliation_strings":["University College Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-7156-5832","affiliations":[{"raw_affiliation_string":"University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065121972"],"corresponding_institution_ids":["https://openalex.org/I4210144925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85952498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12880","display_name":"Qualitative Research Methods and Applications","score":0.2540999948978424,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12880","display_name":"Qualitative Research Methods and Applications","score":0.2540999948978424,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.18400000035762787,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13748","display_name":"Advanced Statistical Modeling Techniques","score":0.031599998474121094,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.477400004863739},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.37610000371932983},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.3677000105381012},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.3515999913215637},{"id":"https://openalex.org/keywords/qualitative-analysis","display_name":"Qualitative analysis","score":0.32580000162124634},{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.2964000105857849}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674000024795532},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.477400004863739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4025000035762787},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3693000078201294},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.32580000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C133112747","wikidata":"https://www.wikidata.org/wiki/Q7251931","display_name":"Protocol analysis","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798320","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772363.3798320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798320","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1791587663","https://openalex.org/W1995864960","https://openalex.org/W2151827967","https://openalex.org/W3081158114","https://openalex.org/W3124026294","https://openalex.org/W3207098447","https://openalex.org/W4360978668","https://openalex.org/W4386136181","https://openalex.org/W4386510071","https://openalex.org/W4388103056","https://openalex.org/W4392353733","https://openalex.org/W4396832436","https://openalex.org/W4399872996","https://openalex.org/W4406302454","https://openalex.org/W4410549506","https://openalex.org/W4410948372","https://openalex.org/W4412164235","https://openalex.org/W4414281281","https://openalex.org/W4414939355","https://openalex.org/W4415174881","https://openalex.org/W4415194046","https://openalex.org/W6922522607","https://openalex.org/W7077044503"],"related_works":[],"abstract_inverted_index":{"Qualitative":[0],"data":[1,88],"analysis":[2,107],"is":[3],"labor-intensive,":[4],"yet":[5],"the":[6,50,63,77],"privacy":[7,112],"risks":[8],"associated":[9],"with":[10,102],"commercial":[11],"Large":[12],"Language":[13],"Models":[14],"(LLMs)":[15],"often":[16],"preclude":[17],"their":[18],"use":[19],"in":[20],"sensitive":[21],"research.":[22],"To":[23],"address":[24],"this,":[25],"we":[26],"introduce":[27],"ChatQDA,":[28],"an":[29],"on-device":[30],"framework":[31],"powered":[32],"by":[33],"open-source":[34],"LLMs":[35],"designed":[36],"for":[37,53,65,105],"privacy-preserving":[38],"open":[39],"coding.":[40],"Our":[41],"mixed-methods":[42],"user":[43],"study":[44],"reveals":[45],"that":[46,91,109],"while":[47,68],"participants":[48,83],"rated":[49],"system":[51],"highly":[52],"usability":[54],"and":[55,73,113],"perceived":[56],"efficiency,":[57],"they":[58],"exhibited":[59],"\"conditional":[60],"trust\",":[61],"valuing":[62],"tool":[64],"surface-level":[66],"extraction":[67],"questioning":[69],"its":[70],"interpretive":[71],"nuance":[72],"consistency.":[74],"Furthermore,":[75],"despite":[76],"technical":[78],"security":[79,93],"of":[80],"local":[81],"deployment,":[82],"reported":[84],"epistemic":[85],"uncertainty":[86],"regarding":[87],"protection,":[89],"suggesting":[90],"invisible":[92],"measures":[94],"are":[95],"insufficient":[96],"to":[97],"foster":[98],"trust.":[99],"We":[100],"conclude":[101],"design":[103],"recommendations":[104],"local-first":[106],"tools":[108],"prioritize":[110],"verifiable":[111],"methodological":[114],"rigor.":[115]},"counts_by_year":[],"updated_date":"2026-04-14T06:02:45.956762","created_date":"2026-04-13T00:00:00"}
