{"id":"https://openalex.org/W2916797267","doi":"https://doi.org/10.1145/3301275.3302289","title":"The effects of example-based explanations in a machine learning interface","display_name":"The effects of example-based explanations in a machine learning interface","publication_year":2019,"publication_date":"2019-02-19","ids":{"openalex":"https://openalex.org/W2916797267","doi":"https://doi.org/10.1145/3301275.3302289","mag":"2916797267"},"language":"en","primary_location":{"id":"doi:10.1145/3301275.3302289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3301275.3302289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3301275.3302289","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th 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/10.1145/3301275.3302289","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065663195","display_name":"Carrie J. Cai","orcid":"https://orcid.org/0000-0001-9421-7128"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carrie J. Cai","raw_affiliation_strings":["Google, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030219719","display_name":"Jonas Jongejan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonas Jongejan","raw_affiliation_strings":["Google, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011744422","display_name":"Jess Holbrook","orcid":"https://orcid.org/0000-0001-9398-6056"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jess Holbrook","raw_affiliation_strings":["Google, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":14.897,"has_fulltext":true,"cited_by_count":207,"citation_normalized_percentile":{"value":0.99146464,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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":0.9998000264167786,"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/T10799","display_name":"Data Visualization and Analytics","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7704944610595703},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.6739997863769531},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.6239950656890869},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5549498200416565},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.5522744059562683},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5465039014816284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529451310634613},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5212938785552979},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4798930883407593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4695984125137329},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4422386884689331},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43429940938949585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20436471700668335},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10793939232826233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08723962306976318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704944610595703},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.6739997863769531},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.6239950656890869},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5549498200416565},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.5522744059562683},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5465039014816284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529451310634613},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5212938785552979},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4798930883407593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4695984125137329},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4422386884689331},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43429940938949585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20436471700668335},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10793939232826233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08723962306976318},{"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1145/3301275.3302289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3301275.3302289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3301275.3302289","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3301275.3302289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3301275.3302289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3301275.3302289","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916797267.pdf","grobid_xml":"https://content.openalex.org/works/W2916797267.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W638131199","https://openalex.org/W1986285750","https://openalex.org/W1988271510","https://openalex.org/W1995445252","https://openalex.org/W2064596108","https://openalex.org/W2074467868","https://openalex.org/W2131251708","https://openalex.org/W2134584261","https://openalex.org/W2137010928","https://openalex.org/W2142175015","https://openalex.org/W2154157725","https://openalex.org/W2168747479","https://openalex.org/W2282821441","https://openalex.org/W2332503218","https://openalex.org/W2396666837","https://openalex.org/W2403343111","https://openalex.org/W2405896853","https://openalex.org/W2493343568","https://openalex.org/W2579553364","https://openalex.org/W2597603852","https://openalex.org/W2626639386","https://openalex.org/W2788403449","https://openalex.org/W2790505917","https://openalex.org/W2795530988","https://openalex.org/W2796133875","https://openalex.org/W2796410451","https://openalex.org/W2796885425","https://openalex.org/W2901214413","https://openalex.org/W2918341242","https://openalex.org/W2963125461","https://openalex.org/W2963483561","https://openalex.org/W3125501814","https://openalex.org/W4248588746"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W4236382845","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W3188573563","https://openalex.org/W4287064674","https://openalex.org/W3201246199","https://openalex.org/W1976890290","https://openalex.org/W2098836165"],"abstract_inverted_index":{"The":[0],"black-box":[1],"nature":[2],"of":[3,27,49,106,125,134,164,168],"machine":[4],"learning":[5],"algorithms":[6],"can":[7,148],"make":[8],"their":[9,58],"predictions":[10],"difficult":[11],"to":[12,16,64,91,113,141,159],"understand":[13],"and":[14,23,36,76,109,137,162],"explain":[15],"end-users.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,60],"propose":[22],"evaluate":[24],"two":[25],"kinds":[26,167],"example-based":[28],"explanations":[29,35,38,63,99,119],"in":[30],"the":[31,46,84,88,93,107,111,126,135,172],"visual":[32],"domain,":[33],"normative":[34,98],"comparative":[37,118],"(Figure":[39],"1),":[40],"which":[41],"automatically":[42],"surface":[43],"examples":[44,147],"from":[45],"training":[47],"set":[48],"a":[50,79,103,151],"deep":[51],"neural":[52],"net":[53],"sketch-recognition":[54],"algorithm.":[55],"To":[56],"investigate":[57],"effects,":[59],"deployed":[61],"these":[62],"1150":[65],"users":[66,73],"on":[67,171],"QuickDraw,":[68],"an":[69],"online":[70],"platform":[71],"where":[72],"draw":[74],"images":[75],"see":[77],"whether":[78],"recognizer":[80],"has":[81],"correctly":[82],"guessed":[83],"intended":[85],"drawing.":[86],"When":[87],"algorithm":[89,136],"failed":[90],"recognize":[92],"drawing,":[94],"those":[95],"who":[96],"received":[97],"felt":[100],"they":[101,130],"had":[102],"better":[104],"understanding":[105],"system,":[108],"perceived":[110],"system":[112],"have":[114,139],"higher":[115],"capability.":[116],"However,":[117],"did":[120],"not":[121],"always":[122],"improve":[123],"perceptions":[124],"algorithm,":[127],"possibly":[128],"because":[129],"sometimes":[131],"exposed":[132],"limitations":[133],"may":[138],"led":[140],"surprise.":[142],"These":[143],"findings":[144],"suggest":[145],"that":[146],"serve":[149],"as":[150],"vehicle":[152],"for":[153],"explaining":[154],"algorithmic":[155],"behavior,":[156],"but":[157],"point":[158],"relative":[160],"advantages":[161],"disadvantages":[163],"using":[165],"different":[166],"examples,":[169],"depending":[170],"goal.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}