{"id":"https://openalex.org/W7161840469","doi":"https://doi.org/10.1145/3788067","title":"People Can Accurately Predict Behavior of Complex Algorithms That Are Available, Compact, and Aligned CSCW031","display_name":"People Can Accurately Predict Behavior of Complex Algorithms That Are Available, Compact, and Aligned CSCW031","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7161840469","doi":"https://doi.org/10.1145/3788067"},"language":"en","primary_location":{"id":"doi:10.1145/3788067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788067","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3788067","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011949594","display_name":"Lindsay Popowski","orcid":"https://orcid.org/0000-0002-5649-0286"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lindsay Popowski","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0000-0002-5649-0286","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031345752","display_name":"Helena Vasconcelos","orcid":"https://orcid.org/0000-0002-6649-6905"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Helena Vasconcelos","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0000-0002-6649-6905","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136559982","display_name":"Ignacio Javier Fernandez Heinsen","orcid":"https://orcid.org/0009-0007-3739-1112"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ignacio Javier Fernandez Heinsen","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0009-0007-3739-1112","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114847377","display_name":"Chijioke Mgbahurike","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chijioke Mgbahurike","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0009-0007-9137-070X","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059907791","display_name":"Ralf Herbrich","orcid":null},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Herbrich","raw_affiliation_strings":["Hasso-Plattner-Institute"],"raw_orcid":"https://orcid.org/0009-0005-8114-6793","affiliations":[{"raw_affiliation_string":"Hasso-Plattner-Institute","institution_ids":["https://openalex.org/I143288331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045528962","display_name":"Jeffrey T. Hancock","orcid":"https://orcid.org/0000-0001-5367-2677"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Hancock","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0000-0001-5367-2677","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136602872","display_name":"Michael S. Bernstein","orcid":"https://orcid.org/0000-0001-8020-9434"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Bernstein","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0000-0001-8020-9434","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56940404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"2","first_page":"1","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.25679999589920044,"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":0.25679999589920044,"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":0.05990000069141388,"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/T12128","display_name":"AI in Service Interactions","score":0.05550000071525574,"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/ranking","display_name":"Ranking (information retrieval)","score":0.6220999956130981},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6097000241279602},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5511000156402588},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5020999908447266},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40939998626708984},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3952000141143799},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3797999918460846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901999711990356},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6220999956130981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6180999875068665},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5511000156402588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5044000148773193},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46650001406669617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C97542219","wikidata":"https://www.wikidata.org/wiki/Q497863","display_name":"SIMPLE algorithm","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2982912361","wikidata":"https://www.wikidata.org/wiki/Q1851867","display_name":"Mental model","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3788067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788067","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3788067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788067","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"id":"https://metadata.un.org/sdg/10","score":0.47206923365592957,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7383111737","display_name":"Collaborative Research: HCC: Medium: Encoding a Plurality of Societal Values in Social Media AIs","funder_award_id":"2403435","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"},{"id":"https://openalex.org/F4320308507","display_name":"Stanford University","ror":"https://ror.org/00f54p054"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1490259388","https://openalex.org/W1989630473","https://openalex.org/W2018536568","https://openalex.org/W2035782089","https://openalex.org/W2045300586","https://openalex.org/W2059799772","https://openalex.org/W2066636486","https://openalex.org/W2091785129","https://openalex.org/W2118525872","https://openalex.org/W2140107468","https://openalex.org/W2145831741","https://openalex.org/W2159094788","https://openalex.org/W2164878629","https://openalex.org/W2237502368","https://openalex.org/W2398344594","https://openalex.org/W2405896853","https://openalex.org/W2410831681","https://openalex.org/W2415277563","https://openalex.org/W2463347236","https://openalex.org/W2503916003","https://openalex.org/W2599514293","https://openalex.org/W2611145892","https://openalex.org/W2732691751","https://openalex.org/W2785011159","https://openalex.org/W2795737619","https://openalex.org/W2796239588","https://openalex.org/W2800417007","https://openalex.org/W2897042519","https://openalex.org/W2916904544","https://openalex.org/W2951551356","https://openalex.org/W2964125683","https://openalex.org/W2981731882","https://openalex.org/W2982915530","https://openalex.org/W2984353433","https://openalex.org/W2984492189","https://openalex.org/W2997560917","https://openalex.org/W3001062618","https://openalex.org/W3003824663","https://openalex.org/W3016099278","https://openalex.org/W3019489177","https://openalex.org/W3028689275","https://openalex.org/W3048566403","https://openalex.org/W3082042211","https://openalex.org/W3113375623","https://openalex.org/W3119394424","https://openalex.org/W3155422163","https://openalex.org/W3163078977","https://openalex.org/W3205150227","https://openalex.org/W3207549372","https://openalex.org/W4210432117","https://openalex.org/W4213318625","https://openalex.org/W4224980442","https://openalex.org/W4224982959","https://openalex.org/W4226281720","https://openalex.org/W4245295309","https://openalex.org/W4285295903","https://openalex.org/W4288083801","https://openalex.org/W4308792048","https://openalex.org/W4309617554","https://openalex.org/W4317464833","https://openalex.org/W4320342906","https://openalex.org/W4323568846","https://openalex.org/W4363672807","https://openalex.org/W4366003124","https://openalex.org/W4366547660","https://openalex.org/W4387344906","https://openalex.org/W4388624604","https://openalex.org/W4389269265","https://openalex.org/W4389636360","https://openalex.org/W4392215427","https://openalex.org/W4396218633","https://openalex.org/W4399709788","https://openalex.org/W4404171845","https://openalex.org/W4407091477","https://openalex.org/W4409767317","https://openalex.org/W4410190712","https://openalex.org/W4415257586"],"related_works":[],"abstract_inverted_index":{"Users":[0],"trust":[1],"algorithms":[2,12,22,52,147,160,177],"more":[3],"when":[4,165,182],"they":[5,166],"can":[6,53],"predict":[7,139],"the":[8,38,87,97,117,123],"algorithms\u2019":[9],"behavior.":[10],"Simple":[11],"trivially":[13],"yield":[14,54],"predictively":[15],"accurate":[16,75,162],"mental":[17,34,56,77,201],"models,":[18,35,57],"but":[19],"modern":[20],"AI":[21],"have":[23],"often":[24],"been":[25],"assumed":[26],"too":[27],"complex":[28,51,157],"for":[29,61],"people":[30],"to":[31,179,205],"build":[32],"predictive":[33,55,76],"especially":[36],"in":[37],"social":[39,143],"media":[40,144],"domain.":[41],"In":[42],"this":[43,127],"paper,":[44],"we":[45],"describe":[46],"conditions":[47],"under":[48],"which":[49,200],"even":[50,156,171],"opening":[58],"up":[59],"opportunities":[60],"a":[62,108,130,183],"broader":[63],"set":[64],"of":[65,79,96,122,141],"human-centered":[66],"algorithms.":[67],"We":[68,125,153,187],"theorize":[69],"that":[70,148,155,190],"users":[71,138,203],"will":[72],"form":[73,107],"an":[74,80],"model":[78],"algorithm\u2019s":[81,120],"behavior":[82,140],"if":[83,86],"and":[84,112,119,170],"only":[85],"algorithm":[88],"simultaneously":[89],"satisfies":[90],"three":[91],"criteria:":[92],"(1)":[93],"cognitive":[94,110],"availability":[95],"underlying":[98],"concepts":[99],"being":[100],"modeled,":[101],"(2)":[102],"concept":[103],"compactness":[104],"(does":[105],"it":[106],"single":[109,184],"construct?),":[111],"(3)":[113],"high":[114],"alignment":[115],"between":[116],"person\u2019s":[118],"execution":[121],"concept.":[124],"evaluate":[126],"theory":[128],"through":[129],"pre-registered":[131],"experiment":[132],"(":[133],"N":[134],"=":[135],"1250)":[136],"where":[137],"25":[142],"feed":[145],"ranking":[146],"vary":[149],"on":[150],"these":[151,191],"criteria.":[152],"find":[154,189],"(e.g.,":[158,173],"LLM-based)":[159],"enjoy":[161],"prediction":[163,196],"rates":[164],"meet":[167],"all":[168],"criteria,":[169],"simple":[172],"basic":[174],"term":[175],"count)":[176],"fail":[178],"be":[180],"predictable":[181],"criterion":[185],"fails.":[186],"also":[188],"criteria":[192],"determine":[193],"outcomes":[194],"beyond":[195],"accuracy,":[197],"such":[198],"as":[199],"models":[202],"deploy":[204],"make":[206],"their":[207],"predictions.":[208]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2026-05-21T00:00:00"}
