{"id":"https://openalex.org/W4390480717","doi":"https://doi.org/10.1109/tsp.2023.3346186","title":"Quickest Detection for Human-Sensor Systems Using Quantum Decision Theory","display_name":"Quickest Detection for Human-Sensor Systems Using Quantum Decision Theory","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390480717","doi":"https://doi.org/10.1109/tsp.2023.3346186"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3346186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3346186","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","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/A5049655790","display_name":"Luke Snow","orcid":"https://orcid.org/0000-0003-0439-7490"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luke Snow","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-0439-7490","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068804090","display_name":"Vikram Krishnamurthy","orcid":"https://orcid.org/0000-0002-4170-6056"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikram Krishnamurthy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4170-6056","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053858045","display_name":"Brian M. Sadler","orcid":"https://orcid.org/0000-0002-9564-3812"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian M. Sadler","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-9564-3812","affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049655790"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.015,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7068358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"368","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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/T10622","display_name":"Quantum Mechanics and Applications","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9495000243186951,"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/computer-science","display_name":"Computer science","score":0.7063227891921997},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6978223323822021},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6331103444099426},{"id":"https://openalex.org/keywords/decision-theory","display_name":"Decision theory","score":0.5520308017730713},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4739384949207306},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44321441650390625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43132591247558594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3604813814163208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3498934209346771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24236562848091125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13437238335609436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063227891921997},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6978223323822021},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6331103444099426},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.5520308017730713},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4739384949207306},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44321441650390625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43132591247558594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3604813814163208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3498934209346771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24236562848091125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13437238335609436},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3346186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3346186","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G227115653","display_name":null,"funder_award_id":"W911NF-21-1-0093","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7817105267","display_name":null,"funder_award_id":"FA9550-22-1-0016","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1535712563","https://openalex.org/W1666623353","https://openalex.org/W1832381054","https://openalex.org/W1967128863","https://openalex.org/W1972397806","https://openalex.org/W1998013227","https://openalex.org/W2004094275","https://openalex.org/W2029632644","https://openalex.org/W2031845357","https://openalex.org/W2034030257","https://openalex.org/W2034084112","https://openalex.org/W2042255315","https://openalex.org/W2047635856","https://openalex.org/W2052646826","https://openalex.org/W2100231778","https://openalex.org/W2125244147","https://openalex.org/W2129242823","https://openalex.org/W2144336657","https://openalex.org/W2157033237","https://openalex.org/W2162732022","https://openalex.org/W2271262700","https://openalex.org/W2325880439","https://openalex.org/W2485587655","https://openalex.org/W2516137114","https://openalex.org/W2796971335","https://openalex.org/W2952169450","https://openalex.org/W2962760394","https://openalex.org/W2964074953","https://openalex.org/W2977321575","https://openalex.org/W3100868364","https://openalex.org/W3105689416","https://openalex.org/W3120616790","https://openalex.org/W3123386946","https://openalex.org/W3154369290","https://openalex.org/W3161677312","https://openalex.org/W3179958725","https://openalex.org/W4239466562","https://openalex.org/W4246506621","https://openalex.org/W4301958211","https://openalex.org/W4312913802"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2770593030","https://openalex.org/W2795393339","https://openalex.org/W4390618967","https://openalex.org/W1856957993","https://openalex.org/W1966535600","https://openalex.org/W188157619"],"abstract_inverted_index":{"A":[0],"sensor":[1],"observes":[2],"an":[3],"underlying":[4,54],"state":[5],"of":[6,14,104,147,154,175],"nature":[7],"in":[8,52,98,130,151,159],"noise,":[9],"computes":[10],"a":[11,22,25,46,50,91,120,123,144],"posterior":[12,20],"probability":[13],"this":[15,19,35,148],"state,":[16],"and":[17,134],"provides":[18],"as":[21,119],"recommendation":[23],"to":[24,76,101,128],"human":[26,29,40,105,139],"decision-maker.":[27],"The":[28],"then":[30],"makes":[31],"decisions":[32,41],"based":[33],"on":[34,125],"recommendation.":[36],"By":[37],"recording":[38],"these":[39],"over":[42],"time,":[43],"how":[44],"can":[45,169],"quickest":[47,68,114,149],"detector":[48,72,150],"detect":[49],"change":[51],"the":[53,59,71,113,131,152,155,176],"state?":[55],"This":[56,64],"paper":[57],"addresses":[58],"above":[60],"human-sensor":[61],"interface":[62],"problem.":[63],"framework":[65],"generalizes":[66],"classical":[67],"detection":[69],"since":[70],"only":[73],"has":[74,162],"access":[75],"<italic":[77],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">human":[79],"decisions</i>":[80],"rather":[81],"than":[82],"noisy":[83],"signals":[84],"with":[85],"known":[86],"statistical":[87],"properties.":[88],"We":[89,108],"utilize":[90],"Quantum":[92,166],"Decision":[93,167],"Theory":[94,168],"model":[95,171],"(widely":[96],"studied":[97],"mathematical":[99],"psychology)":[100],"capture":[102],"peculiarities":[103],"decision":[106],"making.":[107],"provide":[109],"theoretical":[110],"guarantees":[111],"for":[112],"detector's":[115],"optimal":[116],"policy,":[117],"such":[118],"threshold":[121],"structure,":[122],"bound":[124],"performance,":[126],"robustness":[127],"variations":[129],"decision-model":[132],"parameters,":[133],"increased":[135],"performance":[136],"under":[137],"\u2018rational\u2019":[138],"decisions.":[140],"Finally,":[141],"we":[142],"illustrate":[143],"numerical":[145],"implementation":[146],"context":[153],"Prisoner's":[156],"Dilemma":[157],"problem,":[158],"which":[160],"it":[161],"been":[163],"observed":[164],"that":[165],"uniquely":[170],"empirically":[172],"tested":[173],"violations":[174],"sure-thing":[177],"principle.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}