{"id":"https://openalex.org/W4391695325","doi":"https://doi.org/10.1109/sii58957.2024.10417410","title":"The Effect of AI Accuracy and Type of Feedback on Human Decision Making","display_name":"The Effect of AI Accuracy and Type of Feedback on Human Decision Making","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4391695325","doi":"https://doi.org/10.1109/sii58957.2024.10417410"},"language":"en","primary_location":{"id":"doi:10.1109/sii58957.2024.10417410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sii58957.2024.10417410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/SICE International Symposium on System Integration (SII)","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/A5093900186","display_name":"Nanami Ishizu","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nanami Ishizu","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040208746","display_name":"Wen Liang Yeoh","orcid":"https://orcid.org/0000-0003-1272-9010"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wen Liang Yeoh","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112676396","display_name":"Hiroshi Okumura","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Okumura","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038267059","display_name":"Nobuhiko Yamaguchi","orcid":"https://orcid.org/0000-0001-6172-4238"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuhiko Yamaguchi","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013982415","display_name":"Osamu Fukuda","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Fukuda","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840\u20138502","institution_ids":["https://openalex.org/I177136067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01575899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1314","last_page":"1319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12520","display_name":"Psychology of Moral and Emotional Judgment","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12520","display_name":"Psychology of Moral and Emotional Judgment","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.939300000667572,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.7677167057991028},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.6726828813552856},{"id":"https://openalex.org/keywords/low-confidence","display_name":"Low Confidence","score":0.634088933467865},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6161187291145325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.576353132724762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555378794670105},{"id":"https://openalex.org/keywords/self-confidence","display_name":"Self-confidence","score":0.4385320544242859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41751405596733093},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31505173444747925},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2694029211997986},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.21373355388641357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1603720784187317},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09893172979354858}],"concepts":[{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.7677167057991028},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.6726828813552856},{"id":"https://openalex.org/C2909755999","wikidata":"https://www.wikidata.org/wiki/Q4751126","display_name":"Low Confidence","level":2,"score":0.634088933467865},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6161187291145325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.576353132724762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555378794670105},{"id":"https://openalex.org/C48444904","wikidata":"https://www.wikidata.org/wiki/Q4116378","display_name":"Self-confidence","level":2,"score":0.4385320544242859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41751405596733093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31505173444747925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2694029211997986},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.21373355388641357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1603720784187317},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09893172979354858},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii58957.2024.10417410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sii58957.2024.10417410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/SICE International Symposium on System Integration (SII)","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":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2033158690","https://openalex.org/W2044815882","https://openalex.org/W2069239848","https://openalex.org/W2077073102","https://openalex.org/W2218610381","https://openalex.org/W2789876780","https://openalex.org/W2942858056","https://openalex.org/W3035574324","https://openalex.org/W3168997536","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2385290026","https://openalex.org/W2388160358","https://openalex.org/W2272383505","https://openalex.org/W3127089130","https://openalex.org/W2593264389","https://openalex.org/W2887409792","https://openalex.org/W2460072117","https://openalex.org/W2925622754","https://openalex.org/W2360820848","https://openalex.org/W2107436600"],"abstract_inverted_index":{"As":[0],"the":[1,20,23,42,45,49,81,91,98,102,104,108,122,130,137,148,161,179,185,192,196],"decisions":[2,38,103,180],"we":[3,34],"make":[4],"become":[5],"increasingly":[6],"influenced":[7],"by":[8,41,70,182],"suggestions":[9,27,68,109,176],"from":[10,110],"Artificial":[11],"Intelligence":[12],"(AI),":[13],"it":[14],"is":[15],"important":[16],"to":[17,120],"understand":[18],"how":[19],"form":[21,50],"and":[22,48,77,107,164,184],"accuracy":[24,43,75,96,135,149,163,166],"of":[25,44,51,93,132,150,195],"their":[26],"affect":[28],"our":[29,37],"behavior.":[30],"In":[31,168],"this":[32],"study,":[33],"investigated":[35],"whether":[36,56],"were":[39,59,112,117,125,145],"affected":[40],"AI":[46,76,82,111,175],"used":[47],"feedback.":[52],"Ten":[53],"participants":[54,105],"evaluated":[55],"facial":[57],"images":[58],"real":[60],"or":[61,73,79],"fake":[62],"under":[63],"four":[64],"conditions,":[65],"namely,":[66],"with":[67,78],"given":[69],"a":[71,94,133],"high":[72,95,162],"low":[74,134,165],"without":[80],"confidence":[83,115,123,143,155,171,193],"level":[84,156,172,194],"provided.":[85],"The":[86],"results":[87],"suggest":[88],"that,":[89],"in":[90,129],"case":[92,131],"AI,":[97,136],"concordance":[99,138],"rate":[100,139],"between":[101],"made":[106,181],"higher":[113],"when":[114,121,142,154],"levels":[116,124,144],"provided":[118],"compared":[119],"not":[126],"show.":[127],"However,":[128],"was":[140,157],"lower":[141],"shown.":[146],"Additionally,":[147],"participant's":[151],"answers":[152],"increased":[153],"provided,":[158],"for":[159],"both":[160],"AI.":[167,197],"conclusion,":[169],"providing":[170],"information":[173],"alongside":[174],"may":[177,187],"change":[178],"human":[183],"effects":[186],"be":[188],"different":[189],"depending":[190],"on":[191]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
