{"id":"https://openalex.org/W4411235915","doi":"https://doi.org/10.1145/3708319.3734178","title":"The Impact of Confidence Ratings on User Trust in Large Language Models","display_name":"The Impact of Confidence Ratings on User Trust in Large Language Models","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4411235915","doi":"https://doi.org/10.1145/3708319.3734178"},"language":"en","primary_location":{"id":"doi:10.1145/3708319.3734178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708319.3734178","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708319.3734178","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3708319.3734178","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052919886","display_name":"Lifei Wang","orcid":"https://orcid.org/0009-0007-7631-6107"},"institutions":[{"id":"https://openalex.org/I4210113521","display_name":"Systems, Applications & Products in Data Processing (United States)","ror":"https://ror.org/01gbhv690","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113521","https://openalex.org/I4210132444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifei Wang","raw_affiliation_strings":["SAP, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0009-0007-7631-6107","affiliations":[{"raw_affiliation_string":"SAP, Palo Alto, California, USA","institution_ids":["https://openalex.org/I4210113521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088914612","display_name":"Natalie Friedman","orcid":"https://orcid.org/0000-0003-4751-7739"},"institutions":[{"id":"https://openalex.org/I4210113521","display_name":"Systems, Applications & Products in Data Processing (United States)","ror":"https://ror.org/01gbhv690","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113521","https://openalex.org/I4210132444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalie Friedman","raw_affiliation_strings":["SAP, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0000-0003-4751-7739","affiliations":[{"raw_affiliation_string":"SAP, Palo Alto, California, USA","institution_ids":["https://openalex.org/I4210113521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118130875","display_name":"Chengchao Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113521","display_name":"Systems, Applications & Products in Data Processing (United States)","ror":"https://ror.org/01gbhv690","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113521","https://openalex.org/I4210132444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengchao Zhu","raw_affiliation_strings":["SAP, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0009-0001-8524-7808","affiliations":[{"raw_affiliation_string":"SAP, Palo Alto, California, USA","institution_ids":["https://openalex.org/I4210113521"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zeshu Zhu","orcid":"https://orcid.org/0009-0001-2261-2046"},"institutions":[{"id":"https://openalex.org/I4210113521","display_name":"Systems, Applications & Products in Data Processing (United States)","ror":"https://ror.org/01gbhv690","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113521","https://openalex.org/I4210132444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeshu Zhu","raw_affiliation_strings":["SAP, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0009-0001-2261-2046","affiliations":[{"raw_affiliation_string":"SAP, Palo Alto, California, USA","institution_ids":["https://openalex.org/I4210113521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011318249","display_name":"S. Joy Mountford","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113521","display_name":"Systems, Applications & Products in Data Processing (United States)","ror":"https://ror.org/01gbhv690","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113521","https://openalex.org/I4210132444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S Joy Mountford","raw_affiliation_strings":["SAP, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0009-0001-2858-7689","affiliations":[{"raw_affiliation_string":"SAP, Palo Alto, California, USA","institution_ids":["https://openalex.org/I4210113521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113521"],"apc_list":null,"apc_paid":null,"fwci":6.6032,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96283132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6822671890258789},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3533477783203125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822671890258789},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3533477783203125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708319.3734178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708319.3734178","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708319.3734178","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3708319.3734178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708319.3734178","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708319.3734178","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411235915.pdf","grobid_xml":"https://content.openalex.org/works/W4411235915.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2032426551","https://openalex.org/W2792850348","https://openalex.org/W2800068874","https://openalex.org/W3174333417","https://openalex.org/W4224982959","https://openalex.org/W4382058765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"study":[1,53],"investigated":[2],"how":[3],"displaying":[4],"AI":[5,162],"confidence":[6,37,62,70,73,129,150],"levels":[7],"affected":[8],"user":[9,135],"trust":[10,28,170],"and":[11,45,75,108,137],"effectiveness":[12,136],"in":[13,20,29,86,140],"decision-making":[14],"contexts.Current":[15],"chatbot":[16,58],"interfaces":[17],"lack":[18],"transparency":[19],"response":[21],"reliability,":[22],"which":[23,82],"could":[24,83,155],"lead":[25],"to":[26,133],"misguided":[27],"AI-generated":[30],"content.We":[31],"addressed":[32],"this":[33,121],"limitation":[34],"through":[35],"a":[36,51,56,61,106,112],"rating":[38,63,130],"interface":[39,59,64,131],"that":[40,65,127,148],"visually":[41],"communicates":[42],"model":[43],"certainty":[44],"provides":[46],"prompt":[47,77,153],"improvement":[48,78],"suggestions.We":[49],"conducted":[50],"between-subjects":[52],"(n=20)":[54],"comparing":[55],"standard":[57],"with":[60,120,152,161,164],"displays":[66],"three":[67],"features:":[68],"1)":[69],"rating,":[71],"2)":[72],"factors,":[74],"3)":[76],"suggestions.Participants":[79],"completed":[80],"tasks":[81,90,141],"be":[84],"done":[85],"an":[87],"enterprise":[88,167],"setting.These":[89],"included":[91],"asking":[92],"about":[93,99,111],"travel":[94],"planning":[95],"suggestions,":[96],"fact":[97],"verification":[98,143],"unfamiliar":[100],"topics,":[101],"multi-step":[102],"problem":[103],"solving":[104],"for":[105,166],"timezone,":[107],"decision":[109],"making":[110],"stock":[113],"value.While":[114],"we":[115],"didn't":[116],"reach":[117],"statistical":[118],"significance":[119],"small":[122],"sample":[123],"size,":[124],"results":[125],"showed":[126],"the":[128],"tended":[132],"improve":[134],"confidence,":[138],"particularly":[139],"requiring":[142],"or":[144],"reasoning.Our":[145],"findings":[146],"suggest":[147],"combining":[149],"indicators":[151],"suggestions":[154],"enhance":[156],"information":[157],"evaluation":[158],"when":[159],"working":[160],"systems,":[163],"implications":[165],"applications":[168],"where":[169],"is":[171],"essential.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}