{"id":"https://openalex.org/W4413212281","doi":"https://doi.org/10.1109/lcsys.2025.3597693","title":"Optimal Fidelity Selection for Human-Supervised Search","display_name":"Optimal Fidelity Selection for Human-Supervised Search","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413212281","doi":"https://doi.org/10.1109/lcsys.2025.3597693"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2025.3597693","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2025.3597693","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/lcsys.2025.3597693","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"},"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":true,"raw_author_name":"Piyush Gupta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 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"},"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, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103124832"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24913166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2291","last_page":"2296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.6600546836853027},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6569639444351196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6030457019805908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49556219577789307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4483909010887146}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6600546836853027},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6569639444351196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6030457019805908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49556219577789307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4483909010887146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2025.3597693","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2025.3597693","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lcsys.2025.3597693","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2025.3597693","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2039450882","https://openalex.org/W2090625920","https://openalex.org/W2110962519","https://openalex.org/W2158196600","https://openalex.org/W2163909453","https://openalex.org/W2165959773","https://openalex.org/W2323089860","https://openalex.org/W2563150812","https://openalex.org/W2781634994","https://openalex.org/W2914120968","https://openalex.org/W2967718667","https://openalex.org/W2972390852","https://openalex.org/W3212900133","https://openalex.org/W4205234789","https://openalex.org/W4312774015","https://openalex.org/W4380084376","https://openalex.org/W4382935760","https://openalex.org/W4388516305","https://openalex.org/W4389987397","https://openalex.org/W4400275348","https://openalex.org/W4402437085","https://openalex.org/W4407412790"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"We":[0,104],"study":[1],"optimal":[2],"fidelity":[3,61,93],"selection":[4,94,109],"in":[5,32],"human-supervised":[6],"underwater":[7,30],"visual":[8,39],"search,":[9],"where":[10,139],"operator":[11,57],"performance":[12,126],"is":[13,80,95],"influenced":[14],"by":[15,127],"cognitive":[16],"factors":[17],"such":[18],"as":[19,47,82],"workload.":[20],"In":[21],"our":[22],"experiments,":[23],"participants":[24],"perform":[25],"two":[26,106],"simultaneous":[27],"tasks:":[28],"detecting":[29],"mines":[31],"videos":[33],"(primary)":[34],"and":[35,51,64,92,110,131],"responding":[36],"to":[37,41,76,118,136],"a":[38,48,83,98,111,137],"cue":[40],"estimate":[42],"workload":[43],"(secondary).":[44],"Videos":[45],"arrive":[46],"Poisson":[49],"process":[50],"queue":[52,77,121],"for":[53,120],"review,":[54],"with":[55,133],"the":[56],"choosing":[58],"between":[59],"normal":[60],"(faster":[62],"playback)":[63],"high":[65],"fidelity.":[66,143],"Rewards":[67],"depend":[68],"on":[69],"detection":[70],"accuracy,":[71],"while":[72],"penalties":[73],"are":[74],"tied":[75],"length.":[78],"Workload":[79],"modeled":[81],"hidden":[84],"state":[85],"using":[86],"an":[87],"Input-Output":[88],"Hidden":[89],"Markov":[90,101],"Model,":[91],"optimized":[96],"via":[97],"Partially":[99],"Observable":[100],"Decision":[102],"Process.":[103],"evaluate":[105],"setups:":[107],"fidelity-only":[108],"version":[112],"that":[113],"also":[114],"allows":[115],"task":[116],"delegation":[117,130],"automation":[119],"stability.":[122],"Our":[123],"approach":[124],"improves":[125],"26.5%":[128],"without":[129],"50.3%":[132],"delegation,":[134],"compared":[135],"baseline":[138],"humans":[140],"manually":[141],"select":[142]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
