{"id":"https://openalex.org/W2972390852","doi":"https://doi.org/10.23919/acc.2019.8814842","title":"Optimal Fidelity Selection for Human-in-the-loop Queues using Semi-Markov Decision Processes","display_name":"Optimal Fidelity Selection for Human-in-the-loop Queues using Semi-Markov Decision Processes","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972390852","doi":"https://doi.org/10.23919/acc.2019.8814842","mag":"2972390852"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814842","doi":"https://doi.org/10.23919/acc.2019.8814842","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814842","pdf_url":null,"source":{"id":"https://openalex.org/S4210168941","display_name":"Proceedings of the ... American Control Conference/Proceedings of the American Control Conference","issn_l":"0743-1619","issn":["0743-1619","2378-5861"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5103124832","display_name":"Piyush Gupta","orcid":"https://orcid.org/0000-0002-5141-2406","observed_orcids":["https://orcid.org/0000-0002-5141-2406","https://orcid.org/0009-0004-7949-5153"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Piyush Gupta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085821818","display_name":"Vaibhav Srivastava","orcid":"https://orcid.org/0000-0002-9786-0159","observed_orcids":["https://orcid.org/0000-0002-9786-0159"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vaibhav Srivastava","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":2.0779,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87598232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5266","last_page":"5271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"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/T13553","display_name":"Age of Information Optimization","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/cognitive-dynamics","display_name":"cognitive dynamics","score":0.9020000100135803},{"id":"https://openalex.org/keywords/semi-markov-decision-process","display_name":"semi-Markov decision process","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945208311080933},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6618255376815796},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.6478379964828491},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5652546882629395},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5622180700302124},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5589021444320679},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5284134149551392},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5272791981697083},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49108099937438965},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.42567774653434753},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.35122478008270264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19065043330192566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16642427444458008},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08914363384246826},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0877465009689331},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08434996008872986},{"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8814842","doi":"https://doi.org/10.23919/acc.2019.8814842","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814842","pdf_url":null,"source":{"id":"https://openalex.org/S4210168941","display_name":"Proceedings of the ... American Control Conference/Proceedings of the American Control Conference","issn_l":"0743-1619","issn":["0743-1619","2378-5861"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W564945608","https://openalex.org/W594457923","https://openalex.org/W1538031195","https://openalex.org/W1557496348","https://openalex.org/W1587663028","https://openalex.org/W1592847719","https://openalex.org/W1954626205","https://openalex.org/W1974975426","https://openalex.org/W1979230868","https://openalex.org/W2015229088","https://openalex.org/W2017070213","https://openalex.org/W2029631728","https://openalex.org/W2039450882","https://openalex.org/W2049267862","https://openalex.org/W2052864731","https://openalex.org/W2059186493","https://openalex.org/W2070328658","https://openalex.org/W2078050664","https://openalex.org/W2087262585","https://openalex.org/W2121863487","https://openalex.org/W2132781841","https://openalex.org/W2136863838","https://openalex.org/W2138728841","https://openalex.org/W2163909453","https://openalex.org/W2164794228","https://openalex.org/W2890111944","https://openalex.org/W4214717370","https://openalex.org/W4247263980","https://openalex.org/W4297744580"],"related_works":["https://openalex.org/W4388516305","https://openalex.org/W4205234789","https://openalex.org/W2132781841","https://openalex.org/W2141433919","https://openalex.org/W4389498961","https://openalex.org/W4313510646","https://openalex.org/W7096259961","https://openalex.org/W274497311","https://openalex.org/W7018635094","https://openalex.org/W2056691655"],"abstract_inverted_index":{"We":[0,85,111],"study":[1],"optimal":[2,115],"fidelity":[3,32],"selection":[4],"for":[5,34],"a":[6,10,45,68,82,94,105],"human":[7,21],"operator":[8,22,42],"servicing":[9,35],"queue":[11,77],"of":[12,19,31,40,93,101],"homogeneous":[13],"tasks.":[14],"The":[15,63],"service":[16,92],"time":[17],"distribution":[18],"the":[20,29,36,41,50,76,87],"depends":[23],"on":[24],"her":[25],"cognitive":[26,51],"dynamics":[27,39],"and":[28,71,96,117],"level":[30],"selected":[33],"task.":[37],"Cognitive":[38],"evolve":[43],"as":[44],"Markov":[46],"chain":[47],"in":[48,75,99],"which":[49],"state":[52],"increases":[53],"(decreases)":[54],"with":[55],"high":[56,90],"probability":[57],"whenever":[58],"she":[59],"is":[60],"busy":[61],"(resting).":[62],"tasks":[64,103],"arrive":[65],"according":[66],"to":[67],"Poisson":[69],"process":[70],"each":[72],"task":[73,95],"waiting":[74],"loses":[78],"its":[79,119],"value":[80,100],"at":[81],"fixed":[83],"rate.":[84],"address":[86],"trade-off":[88],"between":[89],"quality":[91],"consequent":[97],"loss":[98],"future":[102],"using":[104],"Semi-Markov":[106],"Decision":[107],"Process":[108],"(SMDP)":[109],"framework.":[110],"numerically":[112],"determine":[113],"an":[114],"policy":[116],"establish":[118],"structural":[120],"properties.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-09-19T00:00:00"}