{"id":"https://openalex.org/W4221056569","doi":"https://doi.org/10.1145/3490099.3511121","title":"Exploring the Effects of Machine Learning Literacy Interventions on Laypeople\u2019s Reliance on Machine Learning Models","display_name":"Exploring the Effects of Machine Learning Literacy Interventions on Laypeople\u2019s Reliance on Machine Learning Models","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4221056569","doi":"https://doi.org/10.1145/3490099.3511121"},"language":"en","primary_location":{"id":"doi:10.1145/3490099.3511121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490099.3511121","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490099.3511121","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"27th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3490099.3511121","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072428266","display_name":"C. Chiang","orcid":"https://orcid.org/0000-0001-9635-3385"},"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":"Chun-Wei Chiang","raw_affiliation_strings":["Purdue University, United States"],"affiliations":[{"raw_affiliation_string":"Purdue University, United States","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, United States"],"affiliations":[{"raw_affiliation_string":"Purdue University, United States","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072428266"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":4.414,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94977987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.7828888893127441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7351888418197632},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5529806017875671},{"id":"https://openalex.org/keywords/literacy","display_name":"Literacy","score":0.5371150970458984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5129239559173584},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4792097210884094},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4780222177505493},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.47492489218711853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41216617822647095},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2826322317123413},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1510297656059265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10899540781974792}],"concepts":[{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.7828888893127441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351888418197632},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5529806017875671},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.5371150970458984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5129239559173584},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4792097210884094},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4780222177505493},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.47492489218711853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41216617822647095},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2826322317123413},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1510297656059265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10899540781974792},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490099.3511121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490099.3511121","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490099.3511121","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"27th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3490099.3511121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490099.3511121","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490099.3511121","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"27th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4"}],"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"},{"id":"https://openalex.org/G4702229037","display_name":null,"funder_award_id":"IIS-185033","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8085709208","display_name":null,"funder_award_id":"IIS-1850335","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8872880283","display_name":null,"funder_award_id":"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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221056569.pdf","grobid_xml":"https://content.openalex.org/works/W4221056569.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1988061708","https://openalex.org/W1996796871","https://openalex.org/W2029002232","https://openalex.org/W2050060635","https://openalex.org/W2052874025","https://openalex.org/W2055666611","https://openalex.org/W2073127684","https://openalex.org/W2095690993","https://openalex.org/W2128213565","https://openalex.org/W2147275169","https://openalex.org/W2185914977","https://openalex.org/W2282821441","https://openalex.org/W2611452554","https://openalex.org/W2611586694","https://openalex.org/W2753297230","https://openalex.org/W2771677432","https://openalex.org/W2800068874","https://openalex.org/W2891503716","https://openalex.org/W2897042519","https://openalex.org/W2900390255","https://openalex.org/W2901481055","https://openalex.org/W2913589238","https://openalex.org/W2913854599","https://openalex.org/W2915702489","https://openalex.org/W2918027211","https://openalex.org/W2938497363","https://openalex.org/W2942157335","https://openalex.org/W2948288662","https://openalex.org/W2956066828","https://openalex.org/W2965058023","https://openalex.org/W2978734815","https://openalex.org/W2982232682","https://openalex.org/W2984353433","https://openalex.org/W2988450373","https://openalex.org/W2996929177","https://openalex.org/W2999637955","https://openalex.org/W3009578469","https://openalex.org/W3016099278","https://openalex.org/W3023773746","https://openalex.org/W3029022390","https://openalex.org/W3040025862","https://openalex.org/W3100279624","https://openalex.org/W3103751997","https://openalex.org/W3135354507","https://openalex.org/W3156106752","https://openalex.org/W3158839228","https://openalex.org/W3159250634","https://openalex.org/W3163411042","https://openalex.org/W3163667721","https://openalex.org/W3173265486","https://openalex.org/W3174333417","https://openalex.org/W3174968969","https://openalex.org/W3184924454","https://openalex.org/W3207594185","https://openalex.org/W4224982959","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W2001821990","https://openalex.org/W2319020389","https://openalex.org/W2272707781","https://openalex.org/W2747851897","https://openalex.org/W1975913006","https://openalex.org/W1513662110","https://openalex.org/W2063506784","https://openalex.org/W4240086805","https://openalex.org/W2521348551","https://openalex.org/W2013411520"],"abstract_inverted_index":{"Today,":[0],"machine":[1,34,50,80],"learning":[2,35,51,81],"(ML)":[3],"technologies":[4,18],"have":[5,141],"penetrated":[6],"almost":[7],"every":[8],"aspect":[9],"of":[10,16,27,40,49,75,104,201,229],"people\u2019s":[11,33,46],"lives,":[12],"yet":[13],"public":[14],"understandings":[15],"these":[17],"are":[19],"often":[20],"limited.":[21],"This":[22],"highlights":[23],"the":[24,38,79,99,105,147,160,174,181,189,196,199,211,226],"urgent":[25],"need":[26],"designing":[28],"effective":[29],"methods":[30],"to":[31,69,164,169,214],"increase":[32],"literacy,":[36],"as":[37,78],"lack":[39],"relevant":[41],"knowledge":[42],"may":[43],"result":[44],"in":[45,111,122,145],"inappropriate":[47],"usage":[48],"technologies.":[52],"In":[53,183],"this":[54],"paper,":[55],"we":[56,205],"focus":[57],"on":[58,88,91,130,173,188],"an":[59],"ML-assisted":[60],"decision-making":[61,148],"setting":[62],"and":[63,94,102,158,218],"conduct":[64],"a":[65,152],"human-subject":[66],"randomized":[67],"experiment":[68],"explore":[70],"how":[71],"providing":[72],"different":[73,109],"types":[74],"user":[76,106,118,153,202],"tutorials":[77],"literacy":[82],"interventions":[83],"can":[84,125],"influence":[85],"laypeople\u2019s":[86],"reliance":[87,187],"ML":[89,131,162,175,190],"models,":[90],"both":[92],"in-distribution":[93],"out-of-distribution":[95],"examples.":[96],"We":[97,222],"vary":[98],"existence,":[100],"interactivity":[101],"scope":[103],"tutorial":[107,154,213],"across":[108],"treatments":[110],"our":[112,230],"experiment.":[113],"Our":[114],"results":[115],"show":[116],"that":[117,155,208],"tutorials,":[119],"when":[120,177],"presented":[121],"appropriate":[123],"forms,":[124],"help":[126],"some":[127],"people":[128,209],"rely":[129],"models":[132],"more":[133,216,220],"appropriately.":[134],"For":[135],"example,":[136],"for":[137],"those":[138],"individuals":[139],"who":[140],"relatively":[142],"high":[143],"ability":[144],"solving":[146],"task":[149],"themselves,":[150],"receiving":[151],"is":[156,192],"interactive":[157,212],"addresses":[159],"specific":[161],"model":[163,176,191],"be":[165,215],"used":[166],"allows":[167],"them":[168],"reduce":[170],"their":[171],"over-reliance":[172],"they":[178],"could":[179],"outperform":[180],"model.":[182],"contrast,":[184],"low-performing":[185],"individuals\u2019":[186],"not":[193],"affected":[194],"by":[195,224],"presence":[197],"or":[198],"type":[200],"tutorial.":[203],"Finally,":[204],"also":[206],"find":[207],"perceive":[210],"understandable":[217],"slightly":[219],"useful.":[221],"conclude":[223],"discussing":[225],"design":[227],"implications":[228],"study.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}