{"id":"https://openalex.org/W2090994704","doi":"https://doi.org/10.1145/49108.1046351","title":"AN INTERFERENCE THEORY EXPLANATION OF RETENTION ERRORS","display_name":"AN INTERFERENCE THEORY EXPLANATION OF RETENTION ERRORS","publication_year":1988,"publication_date":"1988-01-01","ids":{"openalex":"https://openalex.org/W2090994704","doi":"https://doi.org/10.1145/49108.1046351","mag":"2090994704"},"language":"en","primary_location":{"id":"doi:10.1145/49108.1046351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/49108.1046351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/49108.1046351","source":{"id":"https://openalex.org/S4210208874","display_name":"ACM SIGCHI Bulletin","issn_l":"0736-6906","issn":["0736-6906","1558-1217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315631","host_organization_name":"SIGCHI","host_organization_lineage":["https://openalex.org/P4310315631"],"host_organization_lineage_names":["SIGCHI"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGCHI Bulletin","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/49108.1046351","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089068822","display_name":"George Engelbeck","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"George Engelbeck","raw_affiliation_strings":["","the University of Sout h Florida "],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"the University of Sout h Florida ","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111736214","display_name":"Peter G. Polson","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter G. Polson","raw_affiliation_strings":["","the University of Sout h Florida "],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"the University of Sout h Florida ","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089068822"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18298302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"3","first_page":"61","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8341000080108643,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8341000080108643,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.7757999897003174,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13204","display_name":"Competitive and Knowledge Intelligence","score":0.7361999750137329,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6181379556655884},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.584769606590271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5693396925926208},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5329946279525757},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5273350477218628},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5247233510017395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653893709182739},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.464769184589386},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.464335560798645},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4605201482772827},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43690404295921326},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.42713722586631775},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.41251814365386963},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3767138123512268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30227160453796387},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2681318521499634}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6181379556655884},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.584769606590271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5693396925926208},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5329946279525757},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5273350477218628},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5247233510017395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653893709182739},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.464769184589386},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.464335560798645},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4605201482772827},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43690404295921326},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.42713722586631775},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.41251814365386963},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3767138123512268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30227160453796387},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2681318521499634},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1145/49108.1046351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/49108.1046351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/49108.1046351","source":{"id":"https://openalex.org/S4210208874","display_name":"ACM SIGCHI Bulletin","issn_l":"0736-6906","issn":["0736-6906","1558-1217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315631","host_organization_name":"SIGCHI","host_organization_lineage":["https://openalex.org/P4310315631"],"host_organization_lineage_names":["SIGCHI"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGCHI Bulletin","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/49108.1046351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/49108.1046351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/49108.1046351","source":{"id":"https://openalex.org/S4210208874","display_name":"ACM SIGCHI Bulletin","issn_l":"0736-6906","issn":["0736-6906","1558-1217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315631","host_organization_name":"SIGCHI","host_organization_lineage":["https://openalex.org/P4310315631"],"host_organization_lineage_names":["SIGCHI"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGCHI Bulletin","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2090994704.pdf","grobid_xml":"https://content.openalex.org/works/W2090994704.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1034520534","https://openalex.org/W1708874574","https://openalex.org/W1966629784","https://openalex.org/W1969229369","https://openalex.org/W1970668914","https://openalex.org/W2063145598","https://openalex.org/W4247491632","https://openalex.org/W4253560352"],"related_works":["https://openalex.org/W2006651773","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W4254349500","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W2050078012","https://openalex.org/W2060761133","https://openalex.org/W2360307734","https://openalex.org/W2028424651"],"abstract_inverted_index":{"We":[0],"have":[1],"extended":[2],"Cognitive":[3],"Complexity":[4],"Theory":[5],"(CCT)":[6],"(Kieras":[7],"and":[8,22,58,67,69,81,168,202],"Polson,":[9],"1985)":[10],"to":[11,36,40,85,93,178],"provide":[12],"an":[13,217,225,252],"explanation":[14,27],"of":[15,129,146,183,188,205,216,224,251],"why":[16],"some":[17],"production":[18],"rules":[19,54,75,151,161,163],"are":[20,24,162],"rememberd":[21],"others":[23],"forgotten.":[25],"This":[26],"is":[28,48],"based":[29],"on":[30,98,125,254],"interference":[31,88],"theory.Inconsistent":[32],"user-interfaces":[33],"force":[34],"users":[35],"learn":[37],"different":[38,59,72],"operations":[39],"accomplish":[41],"common":[42,56,65],"user":[43],"goals.":[44],"Such":[45],"inconsistent":[46],"knowlege":[47],"represented":[49],"as":[50,79,154],"two":[51],"or":[52,157,245],"more":[53,174],"with":[55,164,180,199],"conditions":[57],"actions.":[60,73],"Let":[61],"A":[62],"represent":[63,71],"the":[64,112,126,147,181,184,189,203,230,237],"condition":[66,167],"C":[68],"D":[70],"The":[74,119,150,170,213,221,249],"can":[76,196],"be":[77,197],"described":[78],"A-B":[80],"A-C":[82,233],"which":[83],"conform":[84],"a":[86,99,116,142,165,200,255],"classical":[87],"paradigm.Sixty":[89],"subjects":[90,124],"were":[91,106,134,152,207,243],"traine":[92],"perform":[94],"seven":[95,148],"utility":[96,130],"tasks":[97],"popular,":[100],"stand-alone,":[101],"menu-based":[102],"word":[103],"processor.":[104],"Subjects":[105],"brought":[107],"back":[108],"one":[109,145],"day":[110],"after":[111],"training":[113],"session":[114],"for":[115,136,209,229],"retention":[117,120,182],"test.":[118],"test":[121],"involved":[122],"retraining":[123],"same":[127],"set":[128],"tasks.Production":[131],"rule":[132,140,171,190,211,258],"models":[133],"written":[135],"all":[137],"tasks.":[138,149],"Each":[139],"represents":[141],"step":[143,195],"in":[144,240],"classified":[153],"A-B,":[155],"A-C,":[156],"C-D":[158,160,257],"rules.":[159,234],"unique":[166],"action.":[169],"that":[172],"appeared":[173],"frequently":[175],"was":[176,219,227,259],"predicted":[177],"interfere":[179],"less":[185],"frequent":[186],"version":[187],"(Postman":[191],"&":[192],"Underwood,":[193],"1973).Each":[194],"associated":[198],"rule,":[201],"number":[204],"errors":[206,238],"tobulated":[208],"each":[210],"type.":[212],"overall":[214],"probability":[215,223,250],"error":[218,226,253],".076.":[220],"observed":[222,239],".56":[228],"four":[231,247],"low-frequency":[232,256],"Over":[235],"half":[236],"this":[241],"study":[242],"made":[244],"these":[246],"steps.":[248],".005.":[260]},"counts_by_year":[],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}