{"id":"https://openalex.org/W3119689140","doi":"https://doi.org/10.1145/3479552","title":"Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making","display_name":"Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3119689140","doi":"https://doi.org/10.1145/3479552","mag":"3119689140"},"language":"en","primary_location":{"id":"doi:10.1145/3479552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479552","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3479552","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Han Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han Liu","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vivian Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivian Lai","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chenhao Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]},{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenhao Tan","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":8.2591,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.9795904,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"5","issue":"CSCW2","first_page":"1","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.6654000282287598,"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":0.6654000282287598,"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":0.10620000213384628,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.06790000200271606,"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/perception","display_name":"Perception","score":0.5770000219345093},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3343000113964081},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3174999952316284},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.2847999930381775},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.27079999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982999801635742},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5770000219345093},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48420000076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3603000044822693},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2987082051","wikidata":"https://www.wikidata.org/wiki/Q223642","display_name":"Human interaction","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3479552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479552","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2101.05303","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.05303","pdf_url":"https://arxiv.org/pdf/2101.05303","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3479552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479552","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5631940331","display_name":null,"funder_award_id":"2040989","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7269281490","display_name":"CRII: CHS: Harnessing Machine Learning to Improve Human Decision Making: A Case Study on Deceptive Detection","funder_award_id":"2125113","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G960943717","display_name":"AI-DCL: EAGER: Explanations through Diverse, Feasible, and Interactive Counterfactuals","funder_award_id":"2125116","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119689140.pdf","grobid_xml":"https://content.openalex.org/works/W3119689140.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W234809696","https://openalex.org/W1677182931","https://openalex.org/W1989943453","https://openalex.org/W2020785866","https://openalex.org/W2146778625","https://openalex.org/W2203167467","https://openalex.org/W2282821441","https://openalex.org/W2367397349","https://openalex.org/W2394669110","https://openalex.org/W2505877856","https://openalex.org/W2588822708","https://openalex.org/W2748421552","https://openalex.org/W2896487960","https://openalex.org/W2901481055","https://openalex.org/W2901895173","https://openalex.org/W2909212904","https://openalex.org/W2909608214","https://openalex.org/W2918341242","https://openalex.org/W2923421605","https://openalex.org/W2942073295","https://openalex.org/W2942157335","https://openalex.org/W2949832227","https://openalex.org/W2951286828","https://openalex.org/W2963125461","https://openalex.org/W2963622213","https://openalex.org/W2963847595","https://openalex.org/W2963969878","https://openalex.org/W2970019270","https://openalex.org/W2979893369","https://openalex.org/W2999637955","https://openalex.org/W3004483087","https://openalex.org/W3005487936","https://openalex.org/W3016099278","https://openalex.org/W3031000691","https://openalex.org/W3032816739","https://openalex.org/W3037843601","https://openalex.org/W3101662419","https://openalex.org/W3156106752","https://openalex.org/W3163411042","https://openalex.org/W3163443091","https://openalex.org/W3174333417","https://openalex.org/W4255421341","https://openalex.org/W4288359828"],"related_works":[],"abstract_inverted_index":{"Although":[0],"AI":[1,24,68,110,146,175],"holds":[2],"promise":[3],"for":[4,66,88,136],"improving":[5],"human":[6,27,86,143,152,172],"decision":[7],"making":[8],"in":[9,29,46],"societally":[10],"critical":[11,165],"domains,":[12],"it":[13],"remains":[14],"an":[15],"open":[16],"question":[17],"how":[18],"human-AI":[19,62],"teams":[20],"can":[21,106],"reliably":[22],"outperform":[23],"alone":[25,28],"and":[26,84,91,116,130,132,154,167],"challenging":[30],"prediction":[31],"tasks":[32],"(also":[33],"known":[34],"as":[35],"complementary":[36,48],"performance).":[37],"We":[38],"explore":[39],"two":[40],"directions":[41,169],"to":[42,99,156],"understand":[43],"the":[44,54,59],"gaps":[45],"achieving":[47],"performance.":[49],"First,":[50],"we":[51,77,95,123],"argue":[52],"that":[53,104],"typical":[55],"experimental":[56],"setup":[57],"limits":[58],"potential":[60],"of":[61,74,145],"teams.":[63],"To":[64],"account":[65],"lower":[67],"performance":[69,87,158,173],"out-of-distribution":[70,92],"than":[71],"in-distribution":[72,90,129],"because":[73],"distribution":[75,82],"shift,":[76],"design":[78],"experiments":[79,119],"with":[80,109,174],"different":[81],"types":[83],"investigate":[85],"both":[89],"examples.":[93],"Second,":[94],"develop":[96],"novel":[97],"interfaces":[98],"support":[100],"interactive":[101,137,140],"explanations":[102,141],"so":[103],"humans":[105],"actively":[107],"engage":[108],"assistance.":[111,176],"Using":[112],"virtual":[113],"pilot":[114],"studies":[115],"large-scale":[117],"randomized":[118],"across":[120],"three":[121],"tasks,":[122],"demonstrate":[124],"a":[125],"clear":[126],"difference":[127],"between":[128],"out-of-distribution,":[131],"observe":[133],"mixed":[134],"results":[135],"explanations:":[138],"while":[139],"improve":[142],"perception":[144],"assistance's":[147],"usefulness,":[148],"they":[149],"may":[150],"reinforce":[151],"biases":[153],"lead":[155],"limited":[157],"improvement.":[159],"Overall,":[160],"our":[161],"work":[162],"points":[163],"out":[164],"challenges":[166],"future":[168],"towards":[170],"enhancing":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-01-18T00:00:00"}
