{"id":"https://openalex.org/W4399801929","doi":"https://doi.org/10.1109/ichms59971.2024.10555722","title":"Trustworthiness Perceptions of Machine Learning Algorithms: The Influence of Confidence Intervals","display_name":"Trustworthiness Perceptions of Machine Learning Algorithms: The Influence of Confidence Intervals","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4399801929","doi":"https://doi.org/10.1109/ichms59971.2024.10555722"},"language":"en","primary_location":{"id":"doi:10.1109/ichms59971.2024.10555722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms59971.2024.10555722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088241628","display_name":"Gene M. Alarcon","orcid":"https://orcid.org/0000-0003-4093-8792"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gene M. Alarcon","raw_affiliation_strings":["Air Force Research Laboratory Wright-Paterson AFB,USA","Air Force Research Laboratory Wright-Paterson AFB, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory Wright-Paterson AFB,USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory Wright-Paterson AFB, USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072292997","display_name":"Sarah A. Jessup","orcid":"https://orcid.org/0000-0003-2414-4853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarah A. Jessup","raw_affiliation_strings":["Consortium of Universities Wright-Patterson AFB,USA","Consortium of Universities Wright-Patterson AFB, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consortium of Universities Wright-Patterson AFB,USA","institution_ids":[]},{"raw_affiliation_string":"Consortium of Universities Wright-Patterson AFB, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113257348","display_name":"Scott K. Meyers","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119806","display_name":"DCS Corporation (United States)","ror":"https://ror.org/02gdz0643","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119806"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott K. Meyers","raw_affiliation_strings":["DCS Corporation,Dayton,USA","DCS Corporation, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DCS Corporation,Dayton,USA","institution_ids":["https://openalex.org/I4210119806"]},{"raw_affiliation_string":"DCS Corporation, Dayton, USA","institution_ids":["https://openalex.org/I4210119806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112188255","display_name":"Dexter Johnson","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dexter Johnson","raw_affiliation_strings":["Air Force Research Laboratory Wright-Paterson AFB,USA","Air Force Research Laboratory Wright-Paterson AFB, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory Wright-Paterson AFB,USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory Wright-Paterson AFB, USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055950981","display_name":"Walter Bennette","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter D. Bennette","raw_affiliation_strings":["Air Force Research Laboratory,Rome,USA","Air Force Research Laboratory, Rome, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory,Rome,USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory, Rome, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50165669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9986000061035156,"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":0.9986000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9954000115394592,"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":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.7741397619247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515345811843872},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5417895317077637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4959000051021576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4751146733760834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4426164925098419},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4338947832584381},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33078843355178833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14022719860076904},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13306573033332825},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13300666213035583},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12988793849945068}],"concepts":[{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7741397619247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515345811843872},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5417895317077637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4959000051021576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4751146733760834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4426164925098419},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4338947832584381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33078843355178833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14022719860076904},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13306573033332825},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13300666213035583},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12988793849945068},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms59971.2024.10555722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms59971.2024.10555722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1951724000","https://openalex.org/W2014615989","https://openalex.org/W2031566540","https://openalex.org/W2087484885","https://openalex.org/W2110171129","https://openalex.org/W2141125852","https://openalex.org/W2142175015","https://openalex.org/W2194775991","https://openalex.org/W2332079078","https://openalex.org/W2342281051","https://openalex.org/W2514903130","https://openalex.org/W2902322743","https://openalex.org/W2919115771","https://openalex.org/W2952140516","https://openalex.org/W2981731882","https://openalex.org/W2981836045","https://openalex.org/W2999637955","https://openalex.org/W3091586673","https://openalex.org/W3091703512","https://openalex.org/W3103751997","https://openalex.org/W3117550730","https://openalex.org/W3128078612","https://openalex.org/W4200604893","https://openalex.org/W4234552385","https://openalex.org/W4295312788","https://openalex.org/W4384559207","https://openalex.org/W4391904129","https://openalex.org/W4399639995","https://openalex.org/W6684191040","https://openalex.org/W6739651123","https://openalex.org/W6754995574","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2076536433","https://openalex.org/W90316445","https://openalex.org/W4327743613","https://openalex.org/W2965447900","https://openalex.org/W3199750033","https://openalex.org/W2374509987","https://openalex.org/W3163373470","https://openalex.org/W3005856188","https://openalex.org/W2210565555","https://openalex.org/W3125653586"],"abstract_inverted_index":{"Insufficient":[0],"research":[1],"has":[2],"been":[3],"conducted":[4],"to":[5,19,136],"investigate":[6],"the":[7,21,80,96,99,114],"impact":[8],"of":[9,29,77,141,148],"machine":[10,33],"learning":[11,34],"models":[12,133],"on":[13,95],"end-users\u2019":[14],"trust.":[15],"This":[16],"study":[17],"aims":[18],"bridge":[20],"gap":[22],"and":[23,43,88,107,144],"examine":[24],"differences":[25,121],"in":[26,98,113,122,150],"psychological":[27],"perceptions":[28,124],"trust":[30,149],"between":[31,86,125],"two":[32],"models.":[35],"Participants":[36],"(N":[37],"=":[38],"130)":[39],"were":[40,119],"recruited":[41],"online":[42],"completed":[44],"an":[45,52,138],"image":[46],"binning":[47],"monitoring":[48],"task":[49,97],"with":[50],"either":[51],"uncalibrated":[53],"classification":[54,60],"(UC)":[55],"model":[56,62,72,82],"or":[57],"a":[58],"calibrated":[59,85],"(CC)":[61],"that":[63],"provided":[64],"confidence":[65,128],"intervals":[66,129],"about":[67],"their":[68],"decisions.":[69],"The":[70],"UC":[71],"was":[73,83],"highly":[74],"confident,":[75],"regardless":[76],"accuracy,":[78],"whereas":[79],"CC":[81,100,115,132],"more":[84],"accuracy":[87],"confidence.":[89],"Results":[90],"revealed":[91],"participants":[92],"performed":[93],"better":[94],"condition.":[101,116],"Additionally,":[102],"performance":[103],"perceptions,":[104,106],"purpose":[105],"reliance":[108],"intentions":[109],"increased":[110],"over":[111],"time":[112],"However,":[117],"there":[118],"no":[120],"process":[123],"conditions.":[126],"Calibrated":[127],"displayed":[130],"by":[131],"have":[134],"shown":[135],"be":[137],"effective":[139],"means":[140],"increasing":[142],"transparency":[143],"enhancing":[145],"our":[146],"understanding":[147],"machines.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}