{"id":"https://openalex.org/W4411550465","doi":"https://doi.org/10.1145/3715275.3732021","title":"Understanding the Effects of Explaining Predictive but Unintuitive Features in Human-XAI Interaction","display_name":"Understanding the Effects of Explaining Predictive but Unintuitive Features in Human-XAI Interaction","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411550465","doi":"https://doi.org/10.1145/3715275.3732021"},"language":"en","primary_location":{"id":"doi:10.1145/3715275.3732021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715275.3732021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3715275.3732021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency","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/10.1145/3715275.3732021","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020260904","display_name":"Jiaming Qu","orcid":"https://orcid.org/0000-0003-4460-5637"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiaming Qu","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076480696","display_name":"Jaime Arguello","orcid":"https://orcid.org/0000-0002-7645-0556"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaime Arguello","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371984","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-0278-2347"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020260904"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07236896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9918000102043152,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9918000102043152,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6144599914550781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35723987221717834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144599914550781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35723987221717834}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715275.3732021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715275.3732021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3715275.3732021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3715275.3732021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715275.3732021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3715275.3732021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411550465.pdf","grobid_xml":"https://content.openalex.org/works/W4411550465.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1996796871","https://openalex.org/W2012757283","https://openalex.org/W2053075547","https://openalex.org/W2055566656","https://openalex.org/W2063052894","https://openalex.org/W2066124661","https://openalex.org/W2113335527","https://openalex.org/W2157289187","https://openalex.org/W2179021455","https://openalex.org/W2251645975","https://openalex.org/W2282821441","https://openalex.org/W2616647696","https://openalex.org/W2788403449","https://openalex.org/W2799915114","https://openalex.org/W2901895173","https://openalex.org/W2918341242","https://openalex.org/W2942073295","https://openalex.org/W2942444880","https://openalex.org/W2970200208","https://openalex.org/W3001062618","https://openalex.org/W3005876361","https://openalex.org/W3009578469","https://openalex.org/W3030109276","https://openalex.org/W3032816739","https://openalex.org/W3037843601","https://openalex.org/W3099742594","https://openalex.org/W3101792976","https://openalex.org/W3102139770","https://openalex.org/W3133543405","https://openalex.org/W3156666346","https://openalex.org/W3163443091","https://openalex.org/W3209624895","https://openalex.org/W4220774228","https://openalex.org/W4225137238","https://openalex.org/W4233990907","https://openalex.org/W4250646003","https://openalex.org/W4283157866","https://openalex.org/W4299627282","https://openalex.org/W4360991389","https://openalex.org/W4380365974","https://openalex.org/W4385570316","https://openalex.org/W4385571232","https://openalex.org/W4385571325","https://openalex.org/W4385572060","https://openalex.org/W4385768218","https://openalex.org/W4387344906","https://openalex.org/W4389519239","https://openalex.org/W4389520444","https://openalex.org/W4389636360","https://openalex.org/W4396218105","https://openalex.org/W4396802056","https://openalex.org/W4396833645","https://openalex.org/W4399378128","https://openalex.org/W4401504499","https://openalex.org/W4403501023"],"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":{"Feature":[0],"importance":[1],"explanation,":[2],"which":[3],"highlights":[4],"input":[5],"features":[6,29,126,146],"that":[7,123],"are":[8,131,147],"most":[9],"influential":[10],"to":[11,21,42,73,90,105],"the":[12,87,154,164],"output,":[13],"is":[14,47,49,78],"a":[15,45,64,68,76,99,116],"popular":[16],"explainable":[17],"AI":[18,159,165],"(XAI)":[19],"technique":[20],"help":[22],"users":[23],"understand":[24],"machine":[25],"learning":[26,152],"model":[27,71],"predictions.However,":[28],"deemed":[30],"predictive":[31,48,79,132,148],"by":[32],"machines":[33],"can":[34],"still":[35],"be":[36,91],"puzzling":[37],"or":[38,82],"even":[39],"appear":[40],"unintuitive":[41,108,125],"end-users.Explaining":[43],"why":[44,75,129,144],"feature":[46],"an":[50,94],"underexplored":[51],"area":[52],"in":[53,115],"current":[54],"XAI":[55],"research.In":[56],"this":[57],"paper,":[58],"we":[59,97],"used":[60],"deception":[61,117],"detection":[62,118],"as":[63],"case":[65],"study.We":[66],"leveraged":[67],"large":[69],"language":[70],"(LLM)":[72],"explain":[74],"word":[77],"of":[80,153,163],"genuine":[81],"deceptive":[83],"reviews.We":[84],"first":[85],"validated":[86],"LLM-generated":[88,111],"explanations":[89,112],"non-hallucinated":[92],"through":[93],"algorithmic":[95],"evaluation.Then,":[96],"conducted":[98],"crowdsourced":[100],"study":[101,120],"(":[102],"=":[103],"220)":[104],"investigate":[106],"how":[107],"words":[109],"and":[110,161],"influence":[113],"participants":[114],"task.Our":[119],"results":[121],"found":[122],"showing":[124,138],"without":[127],"explaining":[128,143],"they":[130],"was":[133],"no":[134],"better":[135],"than":[136],"not":[137],"them":[139],"at":[140],"all,":[141],"while":[142],"these":[145],"significantly":[149],"enhanced":[150],"participants'":[151],"task,":[155],"appropriate":[156],"reliance":[157],"on":[158],"assistance,":[160],"perceptions":[162],"system.":[166]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}