{"id":"https://openalex.org/W4327910538","doi":"https://doi.org/10.1145/3576840.3578315","title":"Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories","display_name":"Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories","publication_year":2023,"publication_date":"2023-03-19","ids":{"openalex":"https://openalex.org/W4327910538","doi":"https://doi.org/10.1145/3576840.3578315"},"language":"en","primary_location":{"id":"doi:10.1145/3576840.3578315","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3576840.3578315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"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":["School of Information and Library Science, University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"School of Information and Library Science, University of North Carolina at Chapel Hill, 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":["School of Information and Library Science, University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"School of Information and Library Science, University of North Carolina at Chapel Hill, 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":["School of Information and Library Science, University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"School of Information and Library Science, University of North Carolina at Chapel Hill, 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":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02307798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"247","last_page":"257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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":0.9998000264167786,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9054999947547913,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9843112230300903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194553375244141},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5576667785644531},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5190037488937378},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5074641108512878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5022585391998291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49422314763069153},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4682774543762207},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41653865575790405},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3359103202819824},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3041864037513733}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9843112230300903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194553375244141},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5576667785644531},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5190037488937378},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5074641108512878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5022585391998291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49422314763069153},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4682774543762207},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41653865575790405},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3359103202819824},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3041864037513733},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3576840.3578315","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3576840.3578315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2063993968","https://openalex.org/W2282821441","https://openalex.org/W2367397349","https://openalex.org/W2765204106","https://openalex.org/W2788403449","https://openalex.org/W2888592790","https://openalex.org/W2901895173","https://openalex.org/W2907013361","https://openalex.org/W2910705748","https://openalex.org/W2935051602","https://openalex.org/W2962858109","https://openalex.org/W2963125461","https://openalex.org/W2963233086","https://openalex.org/W3016099278","https://openalex.org/W3032816739","https://openalex.org/W3035371891","https://openalex.org/W3037843601","https://openalex.org/W3042124235","https://openalex.org/W3099742594","https://openalex.org/W3156106752","https://openalex.org/W3156365820","https://openalex.org/W3163443091","https://openalex.org/W3209624895","https://openalex.org/W4225105010"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W2598946408"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,31,52,86,123,139],"interpretable":[3,197],"machine":[4],"learning":[5],"(ML)":[6],"is":[7],"to":[8,13,27,37,42,61,101,109,184,193],"design":[9],"tools":[10],"and":[11,64,71,92,106,114,130,166,180],"visualizations":[12],"help":[14],"users":[15],"scrutinize":[16],"a":[17,76,102,136],"system\u2019s":[18],"predictions.":[19],"Prior":[20],"studies":[21,56],"have":[22,57],"mostly":[23],"employed":[24,58],"quantitative":[25],"methods":[26,60],"investigate":[28,62,120],"the":[29,48,53,84,121,163,175],"effects":[30,122],"specific":[32,66],"tools/visualizations":[33,67],"on":[34,75,127,135,149],"outcomes":[35],"related":[36],"objective":[38],"performance\u2014a":[39],"human\u2019s":[40],"ability":[41],"correctly":[43],"agree":[44],"or":[45],"disagree":[46],"with":[47,113,161],"system\u2014and":[49],"subjective":[50],"perceptions":[51],"system.":[54],"Few":[55],"qualitative":[59,137],"how":[63,150],"why":[65],"influence":[68],"performance,":[69],"perceptions,":[70],"behaviors.":[72],"We":[73,119,169],"report":[74,134,148],"lab":[77],"study":[78],"(N":[79],"=":[80],"30)":[81],"that":[82,158],"investigated":[83],"influences":[85],"two":[87,110],"interpretability":[88,117,125,152,176],"features:":[89],"confidence":[90],"values":[91],"sentence":[93],"highlighting.":[94],"Participants":[95],"judged":[96],"whether":[97],"medical":[98,104],"articles":[99],"belong":[100],"predicted":[103],"topic":[105],"were":[107],"exposed":[108],"interface":[111],"conditions\u2014one":[112],"one":[115],"without":[116],"features.":[118],"our":[124,151,190],"features":[126,153,177],"participants\u2019":[128,140],"performance":[129],"perceptions.":[131],"Additionally,":[132],"we":[133,147],"analysis":[138],"responses":[141],"during":[142,162],"an":[143],"exit":[144],"interview.":[145],"Specifically,":[146],"impacted":[154],"different":[155],"cognitive":[156],"activities":[157],"participants":[159,183],"engaged":[160],"task\u2014reading,":[164],"learning,":[165],"decision":[167],"making.":[168],"also":[170],"describe":[171],"ways":[172],"in":[173],"which":[174],"introduced":[178],"challenges":[179],"sometimes":[181],"led":[182],"make":[185],"mistakes.":[186],"Insights":[187],"gained":[188],"from":[189],"results":[191],"point":[192],"future":[194],"directions":[195],"for":[196],"ML":[198],"research.":[199]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}