{"id":"https://openalex.org/W2918497321","doi":"https://doi.org/10.1145/3290605.3300641","title":"Will You Accept an Imperfect AI?","display_name":"Will You Accept an Imperfect AI?","publication_year":2019,"publication_date":"2019-04-29","ids":{"openalex":"https://openalex.org/W2918497321","doi":"https://doi.org/10.1145/3290605.3300641","mag":"2918497321"},"language":"en","primary_location":{"id":"doi:10.1145/3290605.3300641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","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/A5048447340","display_name":"Rafa\u0142 Kocielnik","orcid":"https://orcid.org/0000-0001-5602-6056"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rafal Kocielnik","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057541630","display_name":"Saleema Amershi","orcid":"https://orcid.org/0000-0002-3294-7288"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saleema Amershi","raw_affiliation_strings":["Microsoft Research, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869952","display_name":"Paul N. Bennett","orcid":"https://orcid.org/0000-0002-8846-5480"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul N. Bennett","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":272,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7343919277191162},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7038582563400269},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6043911576271057},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.5799195170402527},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4830651879310608},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4271225035190582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4100877642631531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.345296710729599},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1737818419933319},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0961621105670929},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08186686038970947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343919277191162},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7038582563400269},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6043911576271057},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.5799195170402527},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4830651879310608},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4271225035190582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4100877642631531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.345296710729599},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1737818419933319},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0961621105670929},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08186686038970947},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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:10.1145/3290605.3300641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1482471120","https://openalex.org/W1482866873","https://openalex.org/W1510817841","https://openalex.org/W1576620340","https://openalex.org/W1979756272","https://openalex.org/W1983225075","https://openalex.org/W1989961189","https://openalex.org/W1990992533","https://openalex.org/W1992091432","https://openalex.org/W2010158189","https://openalex.org/W2026805626","https://openalex.org/W2035038536","https://openalex.org/W2036389121","https://openalex.org/W2065267227","https://openalex.org/W2080441299","https://openalex.org/W2089007840","https://openalex.org/W2110506823","https://openalex.org/W2129191571","https://openalex.org/W2131251708","https://openalex.org/W2134584261","https://openalex.org/W2149688032","https://openalex.org/W2154157725","https://openalex.org/W2157186607","https://openalex.org/W2168569455","https://openalex.org/W2169762528","https://openalex.org/W2207689422","https://openalex.org/W2282821441","https://openalex.org/W2312518867","https://openalex.org/W2312795932","https://openalex.org/W2333954233","https://openalex.org/W2398344594","https://openalex.org/W2404471674","https://openalex.org/W2521618756","https://openalex.org/W2591734415","https://openalex.org/W2594227402","https://openalex.org/W2594336441","https://openalex.org/W2611748211","https://openalex.org/W2756188544","https://openalex.org/W2789472613","https://openalex.org/W2795530988","https://openalex.org/W2795737619","https://openalex.org/W2799246381","https://openalex.org/W2807807246","https://openalex.org/W2809100814","https://openalex.org/W2866044803","https://openalex.org/W2898665070","https://openalex.org/W4243333083","https://openalex.org/W4253533180","https://openalex.org/W4285719527","https://openalex.org/W4297823417"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2374250903","https://openalex.org/W2487056937","https://openalex.org/W1546413948","https://openalex.org/W42072456","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W2263832889","https://openalex.org/W2243884323","https://openalex.org/W3209204065"],"abstract_inverted_index":{"AI":[0,74,111,160],"technologies":[1],"have":[2,23],"been":[3,24,42,47],"incorporated":[4],"into":[5],"many":[6],"end-user":[7],"applications.":[8],"However,":[9],"expectations":[10,22,55],"of":[11,14,32,38,60,89,92,99,107,109,123,146],"the":[12,36,57,87,103,110,121],"capabilities":[13],"such":[15,33,136],"systems":[16],"vary":[17],"among":[18],"people.":[19],"Furthermore,":[20],"bloated":[21],"identified":[25],"as":[26],"negatively":[27],"affecting":[28],"perception":[29],"and":[30,148,162],"acceptance":[31],"systems.":[34],"Although":[35],"intelligibility":[37],"ML":[39],"algorithms":[40],"has":[41,46],"well":[43],"studied,":[44],"there":[45],"little":[48],"work":[49],"on":[50,120],"methods":[51,91],"for":[52,76,159],"setting":[53],"appropriate":[54],"before":[56],"initial":[58],"use":[59,68],"an":[61,73],"AI-based":[62],"system.":[63],"In":[64],"this":[65,100],"work,":[66],"we":[67,151],"a":[69,117,165],"Scheduling":[70],"Assistant":[71],"-":[72,84],"system":[75,101],"automated":[77],"meeting":[78],"request":[79],"detection":[80],"in":[81,164,168],"free-text":[82],"email":[83],"to":[85,125,141],"study":[86],"impact":[88],"several":[90],"expectation":[93,153],"setting.":[94],"We":[95,133],"explore":[96],"two":[97],"versions":[98],"with":[102,116],"same":[104],"50%":[105],"level":[106],"accuracy":[108,147],"component":[112],"but":[113],"each":[114],"designed":[115],"different":[118,137,143],"focus":[119,138],"types":[122],"errors":[124],"avoid":[126],"(avoiding":[127],"False":[128,131],"Positives":[129],"vs.":[130],"Negatives).":[132],"show":[134],"that":[135,156],"can":[139],"lead":[140],"vastly":[142],"subjective":[144],"perceptions":[145],"acceptance.":[149,169],"Further,":[150],"design":[152],"adjustment":[154],"techniques":[155],"prepare":[157],"users":[158],"imperfections":[161],"result":[163],"significant":[166],"increase":[167]},"counts_by_year":[{"year":2026,"cited_by_count":41},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
