{"id":"https://openalex.org/W3031898411","doi":"https://doi.org/10.1145/3334480.3382831","title":"Getting Playful with Explainable AI: Games with a Purpose to Improve Human Understanding of AI","display_name":"Getting Playful with Explainable AI: Games with a Purpose to Improve Human Understanding of AI","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3031898411","doi":"https://doi.org/10.1145/3334480.3382831","mag":"3031898411"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3382831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 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/A5047386368","display_name":"Laura Beth Fulton","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Beth Fulton","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079258313","display_name":"Ja Young Lee","orcid":"https://orcid.org/0000-0001-5534-8248"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ja Young Lee","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391116","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-8967-8525"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020030724","display_name":"Zhendong Yuan","orcid":"https://orcid.org/0000-0003-3326-5243"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhendong Yuan","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000744718","display_name":"Jessica Hammer","orcid":"https://orcid.org/0000-0003-4102-2575"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Hammer","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053097987","display_name":"Adam Perer","orcid":"https://orcid.org/0000-0002-8369-3847"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Perer","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9916999936103821,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9830999970436096,"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/transparency","display_name":"Transparency (behavior)","score":0.7566785216331482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769837141036987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46861061453819275},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.44065988063812256},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36165380477905273},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06337505578994751}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.7566785216331482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769837141036987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46861061453819275},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.44065988063812256},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36165380477905273},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06337505578994751},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3334480.3382831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W172170795","https://openalex.org/W1585564431","https://openalex.org/W1593326789","https://openalex.org/W1888870946","https://openalex.org/W1968843430","https://openalex.org/W1993471214","https://openalex.org/W2034637247","https://openalex.org/W2035683813","https://openalex.org/W2065267227","https://openalex.org/W2155034018","https://openalex.org/W2394669110","https://openalex.org/W2398344594","https://openalex.org/W2407683213","https://openalex.org/W2531305923","https://openalex.org/W2566152916","https://openalex.org/W2579148001","https://openalex.org/W2594475271","https://openalex.org/W2623610890","https://openalex.org/W2626743406","https://openalex.org/W2670253439","https://openalex.org/W2764324430","https://openalex.org/W2778796877","https://openalex.org/W2890938132","https://openalex.org/W2891612330","https://openalex.org/W2896010852","https://openalex.org/W2904239776","https://openalex.org/W2914783728","https://openalex.org/W2956281901","https://openalex.org/W2962851944","https://openalex.org/W2963214037","https://openalex.org/W4236094338"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543"],"abstract_inverted_index":{"Explainable":[0],"Artificial":[1],"Intelligence":[2],"(XAI)":[3],"is":[4,25],"an":[5],"emerging":[6],"topic":[7],"in":[8,28,149],"Machine":[9],"Learning":[10],"(ML)":[11],"that":[12,124],"aims":[13],"to":[14,31,65,140],"give":[15],"humans":[16,68,143],"visibility":[17],"into":[18],"how":[19,67,142],"AI":[20,40,70],"systems":[21],"make":[22],"decisions.":[23,44],"XAI":[24,47,77,84,96],"increasingly":[26],"important":[27],"bringing":[29],"transparency":[30],"fields":[32],"such":[33],"as":[34],"medicine":[35],"and":[36,90,114,145,153],"criminal":[37],"justice":[38],"where":[39],"informs":[41],"high":[42],"consequence":[43],"While":[45],"many":[46],"techniques":[48],"have":[49,53],"been":[50,54],"proposed,":[51],"few":[52],"evaluated":[55],"beyond":[56],"anecdotal":[57],"evidence.":[58],"Our":[59],"research":[60],"offers":[61],"a":[62,81,121],"novel":[63],"approach":[64],"assess":[66],"interpret":[69,146],"explanations;":[71],"we":[72,138],"explore":[73],"this":[74],"by":[75],"integrating":[76],"with":[78,80],"Games":[79],"Purpose":[82],"(GWAP).":[83],"requires":[85],"human":[86],"evaluation":[87],"at":[88],"scale,":[89],"GWAP":[91,111,123,161],"can":[92],"be":[93],"used":[94,148],"for":[95,112,132,163],"tasks":[97],"which":[98],"are":[99],"presented":[100],"through":[101,117],"rounds":[102],"of":[103,110,120,160],"play.":[104],"This":[105],"paper":[106],"outlines":[107],"the":[108,158],"benefits":[109],"XAI,":[113],"demonstrates":[115],"application":[116],"our":[118,136],"creation":[119],"multi-player":[122],"focuses":[125],"on":[126,157],"explaining":[127],"deep":[128],"learning":[129],"models":[130],"trained":[131],"image":[133,150],"recognition.":[134],"Through":[135],"game,":[137],"seek":[139],"understand":[141],"select":[144],"explanations":[147],"recognition":[151],"systems,":[152],"bring":[154],"empirical":[155],"evidence":[156],"validity":[159],"designs":[162],"XAI.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
