{"id":"https://openalex.org/W4224323703","doi":"https://doi.org/10.1145/3485447.3512240","title":"Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making","display_name":"Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224323703","doi":"https://doi.org/10.1145/3485447.3512240"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512240","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512240","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100599683","display_name":"Xinru Wang","orcid":"https://orcid.org/0009-0006-1545-834X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinru Wang","raw_affiliation_strings":["Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045282669","display_name":"Zhuoran Lu","orcid":"https://orcid.org/0000-0002-1079-2043"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuoran Lu","raw_affiliation_strings":["Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071294124","display_name":"Ming Yin","orcid":"https://orcid.org/0000-0002-7364-139X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Yin","raw_affiliation_strings":["Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100599683"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":4.106,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95181042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1697","last_page":"1708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9805999994277954,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418403387069702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4688386023044586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3409479260444641},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32399851083755493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418403387069702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4688386023044586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3409479260444641},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32399851083755493}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512240","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3485447.3512240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512240","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G283839769","display_name":null,"funder_award_id":"IS-1850335","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224323703.pdf","grobid_xml":"https://content.openalex.org/works/W4224323703.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W123430343","https://openalex.org/W2007567868","https://openalex.org/W2039153237","https://openalex.org/W2041946752","https://openalex.org/W2070177757","https://openalex.org/W2130743517","https://openalex.org/W2135111565","https://openalex.org/W2139938606","https://openalex.org/W2141309697","https://openalex.org/W2254367336","https://openalex.org/W2282821441","https://openalex.org/W2572169790","https://openalex.org/W2901895173","https://openalex.org/W2905034244","https://openalex.org/W2942157335","https://openalex.org/W2972655396","https://openalex.org/W2979187109","https://openalex.org/W2984353433","https://openalex.org/W2996936464","https://openalex.org/W2999637955","https://openalex.org/W3099742594","https://openalex.org/W3103751997","https://openalex.org/W3119689140","https://openalex.org/W3123578931","https://openalex.org/W3125187074","https://openalex.org/W3128442340","https://openalex.org/W3156106752","https://openalex.org/W3163411042","https://openalex.org/W3163667721","https://openalex.org/W3174333417","https://openalex.org/W4224982959"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Internet":[0],"users":[1],"make":[2,32],"numerous":[3],"decisions":[4,193],"online":[5],"on":[6,156],"a":[7,38,51,69,113,165],"daily":[8],"basis.":[9],"With":[10],"the":[11,30,33,63,77,90,95,101,117,122,130,157,169,179,189,192],"rapid":[12],"advances":[13],"in":[14,83,116,136,172,181],"AI":[15,22,64,186],"recently,":[16],"AI-assisted":[17,137],"decision":[18,25,60,79,138,141,162,170],"making\u2014in":[19],"which":[20],"an":[21,106],"model":[23,118,123],"provides":[24],"recommendations":[26,187],"and":[27,56,100,110,145,154],"confidence,":[28],"while":[29],"humans":[31],"final":[34],"decisions\u2014has":[35],"emerged":[36],"as":[37,188],"new":[39],"paradigm":[40],"of":[41,54,71,97,185,191],"human-AI":[42],"collaboration.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,111,176],"aim":[48],"at":[49],"obtaining":[50],"quantitative":[52],"understanding":[53],"whether":[55],"when":[57],"would":[58],"human":[59,72,78,127,140,161],"makers":[61,163],"adopt":[62],"model\u2019s":[65],"recommendations.":[66],"We":[67],"define":[68],"space":[70,119],"behavior":[73,128,184],"models":[74],"by":[75,150],"decomposing":[76],"maker\u2019s":[80],"cognitive":[81],"process":[82],"each":[84],"decision-making":[85,158],"task":[86],"into":[87],"two":[88],"components:":[89],"utility":[91,96,143,173],"component":[92,103],"(i.e.,":[93,104],"evaluate":[94],"different":[98],"actions)":[99],"selection":[102,147],"select":[105],"action":[107,146],"to":[108,120,167],"take),":[109],"perform":[112],"systematic":[114],"search":[115],"identify":[121],"that":[124,135],"fits":[125],"real-world":[126],"data":[129],"best.":[131],"Our":[132],"results":[133],"highlight":[134],"making,":[139],"makers\u2019":[142],"evaluation":[144],"are":[148],"influenced":[149],"their":[151],"own":[152],"judgement":[153],"confidence":[155,171],"task.":[159],"Further,":[160],"exhibit":[164],"tendency":[166],"distort":[168],"evaluations.":[174],"Finally,":[175],"also":[177],"analyze":[178],"differences":[180],"humans\u2019":[182],"adoption":[183],"stakes":[190],"vary.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}