{"id":"https://openalex.org/W2961476625","doi":null,"title":"Unfamiliar face matching: Decision-making and improvement","display_name":"Unfamiliar face matching: Decision-making and improvement","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2961476625","mag":"2961476625"},"language":"en","primary_location":{"id":"pmh:oai:kar.kent.ac.uk:73415","doi":null,"is_oa":true,"landing_page_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","pdf_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058499652","display_name":"Natalie W. Gentry","orcid":"https://orcid.org/0000-0001-6447-9493","observed_orcids":["https://orcid.org/0000-0001-6447-9493"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Natalie W. Gentry","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6447-9493","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5058499652"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.003800000064074993,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/face-recognition-cognition","display_name":"face recognition (cognition)","score":0.7379999756813049},{"id":"https://openalex.org/keywords/decision-making","display_name":"decision-making","score":0.9340000152587891},{"id":"https://openalex.org/keywords/generalization","display_name":"generalization","score":0.4090000092983246},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"eye tracking","score":0.5509999990463257},{"id":"https://openalex.org/keywords/accuracy-improvement","display_name":"accuracy improvement","score":0.36899998784065247}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6762078404426575},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6231401562690735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6172887086868286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5853279829025269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.551045298576355},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5356402397155762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45901456475257874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4499174952507019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4165567457675934},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41492316126823425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19056686758995056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15908852219581604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09820780158042908},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:kar.kent.ac.uk:73415","doi":null,"is_oa":true,"landing_page_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","pdf_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2961476625","doi":null,"is_oa":false,"landing_page_url":"https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.769884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:kar.kent.ac.uk:73415","doi":null,"is_oa":true,"landing_page_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","pdf_url":"https://kar.kent.ac.uk/73415/1/262NGentry_Thesis_Final.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2961476625.pdf","grobid_xml":"https://content.openalex.org/works/W2961476625.grobid-xml"},"referenced_works_count":137,"referenced_works":["https://openalex.org/W1488980329","https://openalex.org/W1532182522","https://openalex.org/W1598596438","https://openalex.org/W1673178617","https://openalex.org/W1902353142","https://openalex.org/W1912022303","https://openalex.org/W1961766039","https://openalex.org/W1964694219","https://openalex.org/W1970011250","https://openalex.org/W1971568605","https://openalex.org/W1971988784","https://openalex.org/W1973746047","https://openalex.org/W1976718127","https://openalex.org/W1977350117","https://openalex.org/W1981158516","https://openalex.org/W1981985236","https://openalex.org/W1985489739","https://openalex.org/W1986953038","https://openalex.org/W1987020094","https://openalex.org/W1989190024","https://openalex.org/W1990466406","https://openalex.org/W1992855619","https://openalex.org/W1993969498","https://openalex.org/W1996537134","https://openalex.org/W2002862330","https://openalex.org/W2004126537","https://openalex.org/W2004699262","https://openalex.org/W2005308685","https://openalex.org/W2011782267","https://openalex.org/W2013584371","https://openalex.org/W2015263715","https://openalex.org/W2021695329","https://openalex.org/W2022732461","https://openalex.org/W2025743418","https://openalex.org/W2027389436","https://openalex.org/W2035234175","https://openalex.org/W2036613088","https://openalex.org/W2038190809","https://openalex.org/W2039685956","https://openalex.org/W2041121083","https://openalex.org/W2049664898","https://openalex.org/W2049776624","https://openalex.org/W2050337112","https://openalex.org/W2050364246","https://openalex.org/W2051134289","https://openalex.org/W2053989040","https://openalex.org/W2056987789","https://openalex.org/W2058661359","https://openalex.org/W2060424462","https://openalex.org/W2062790832","https://openalex.org/W2062858747","https://openalex.org/W2066859661","https://openalex.org/W2067147689","https://openalex.org/W2069966609","https://openalex.org/W2070168581","https://openalex.org/W2071273112","https://openalex.org/W2074744936","https://openalex.org/W2075872439","https://openalex.org/W2078207590","https://openalex.org/W2078507109","https://openalex.org/W2082030553","https://openalex.org/W2086299392","https://openalex.org/W2089047518","https://openalex.org/W2090684491","https://openalex.org/W2093374738","https://openalex.org/W2093444872","https://openalex.org/W2094493170","https://openalex.org/W2095209779","https://openalex.org/W2097622537","https://openalex.org/W2103958511","https://openalex.org/W2105734587","https://openalex.org/W2106354515","https://openalex.org/W2107032718","https://openalex.org/W2112379115","https://openalex.org/W2121455381","https://openalex.org/W2121613954","https://openalex.org/W2121858392","https://openalex.org/W2123742025","https://openalex.org/W2123829626","https://openalex.org/W2127586314","https://openalex.org/W2131865553","https://openalex.org/W2132254817","https://openalex.org/W2134401828","https://openalex.org/W2135486320","https://openalex.org/W2137965574","https://openalex.org/W2139420873","https://openalex.org/W2140857363","https://openalex.org/W2143937080","https://openalex.org/W2151134507","https://openalex.org/W2153867761","https://openalex.org/W2155820912","https://openalex.org/W2159344473","https://openalex.org/W2163470562","https://openalex.org/W2163773424","https://openalex.org/W2164558494","https://openalex.org/W2164669959","https://openalex.org/W2165847216","https://openalex.org/W2166037078","https://openalex.org/W2168505921","https://openalex.org/W2204202707","https://openalex.org/W2223285751","https://openalex.org/W2228007736","https://openalex.org/W2236736623","https://openalex.org/W2252365467","https://openalex.org/W2294087097","https://openalex.org/W2298190193","https://openalex.org/W2298862953","https://openalex.org/W2319072940","https://openalex.org/W2320871807","https://openalex.org/W2329493101","https://openalex.org/W2464586704","https://openalex.org/W2508732318","https://openalex.org/W2521423115","https://openalex.org/W2525103930","https://openalex.org/W2528652197","https://openalex.org/W2530625867","https://openalex.org/W2566596821","https://openalex.org/W2604387740","https://openalex.org/W2616313984","https://openalex.org/W2623212951","https://openalex.org/W2751303242","https://openalex.org/W2763479305","https://openalex.org/W2790000372","https://openalex.org/W2790167902","https://openalex.org/W2792210348","https://openalex.org/W2794284119","https://openalex.org/W2800972032","https://openalex.org/W2805754451","https://openalex.org/W2806155321","https://openalex.org/W2809167213","https://openalex.org/W2810238015","https://openalex.org/W2810275630","https://openalex.org/W2810376179","https://openalex.org/W2810636005","https://openalex.org/W4233445581","https://openalex.org/W4245026056","https://openalex.org/W4247466743"],"related_works":["https://openalex.org/W2789005403","https://openalex.org/W3159715927","https://openalex.org/W2553177342","https://openalex.org/W7161118916","https://openalex.org/W2313800630","https://openalex.org/W4280557407","https://openalex.org/W2051134289","https://openalex.org/W7160692221","https://openalex.org/W2165847216","https://openalex.org/W2032506039"],"abstract_inverted_index":{"Research":[0],"has":[1],"consistently":[2],"found":[3,118],"unfamiliar":[4,52,289],"face":[5,65,126,290],"matching":[6,47,66,146,238],"to":[7,31,49,97,105,110,119,199,217,231,261,275],"be":[8,149],"a":[9,60,80,220,244,285],"highly":[10],"error":[11],"prone":[12],"task.":[13,25],"Yet,":[14],"little":[15],"is":[16,273],"known":[17],"about":[18],"the":[19,39,121,124,182,194,205,209,248,267,278,281],"decision-making":[20],"process":[21],"that":[22,173],"underlies":[23],"this":[24,43],"Furthermore,":[26],"methods":[27],"of":[28,51,82,123,163,184,250,255,280],"training":[29],"observers":[30,153,174],"improve":[32],"accuracy":[33,67],"have":[34,258],"demonstrated":[35,214],"mixed":[36],"success.":[37],"Therefore,":[38],"experiments":[40],"reported":[41],"in":[42],"thesis":[44,142],"investigated":[45],"how":[46,92,233],"decisions":[48,104],"pairs":[50],"faces":[53,107],"are":[54,77,95],"made":[55],"(Chapter":[56,186],"2),":[57],"and":[58,70,89,159,171,212],"evaluated":[59],"novel":[61],"method":[62,286],"for":[63,85,287],"improving":[64,288],"(Chapters":[68,157],"3":[69,158],"4).":[71,160],"Chapter":[72,226],"2":[73],"examined":[74],"whether":[75,145],"identifications":[76],"based":[78],"on":[79],"series":[81],"smaller":[83],"assessments":[84],"individual":[86,169],"facial":[87,115],"features":[88,116,134],"if":[90],"so,":[91],"these":[93],"evaluations":[94],"combined":[96],"reach":[98],"an":[99,138,168],"overall":[100],"decision,":[101],"by":[102,151,266],"comparing":[103],"whole":[106,125],"with":[108,154,181,223,247],"those":[109],"isolated":[111],"feature":[112],"regions.":[113],"Individual":[114],"were":[117,135,176,196,235],"influence":[120],"classification":[122],"disproportionately,":[127],"but":[128,240],"performance":[129,147],"was":[130,165,191],"best":[131],"when":[132],"all":[133],"presented":[136],"as":[137,208,284],"integrated":[139],"whole.":[140],"This":[141,188],"also":[143,213],"explored":[144,166],"could":[148],"improved":[150,180],"providing":[152],"clearly-labelled":[155],"examples":[156,164,185,189,195,234,282],"The":[161,252],"benefit":[162],"at":[167,178],"level":[170],"revealed":[172],"who":[175],"low-performing":[177],"baseline":[179],"help":[183],"3).":[187],"advantage":[190],"maintained":[192],"after":[193],"removed,":[197],"generalised":[198],"previously":[200],"unseen":[201],"stimuli":[202,218],"taken":[203],"from":[204,219],"same":[206],"set":[207,222],"target":[210],"pairs,":[211],"some":[215],"generalisation":[216],"new":[221],"different":[224,253],"characteristics.":[225],"4":[227],"then":[228],"used":[229],"eye-tracking":[230,268],"evaluate":[232],"utilised":[236],"during":[237],"tasks,":[239],"did":[241],"not":[242],"reveal":[243],"clear":[245],"improvement":[246],"provision":[249],"examples.":[251],"pattern":[254],"results":[256],"may":[257],"been":[259],"due":[260],"fundamental":[262],"task":[263],"differences":[264],"introduced":[265],"methodology.":[269],"Thus,":[270],"further":[271],"research":[272],"required":[274],"fully":[276],"explore":[277],"feasibility":[279],"manipulation":[283],"matching.":[291]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-23T00:00:00"}
