{"id":"https://openalex.org/W4281694204","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767467","title":"Exploring the Impact of Labeling on Psychophysiological Data Analysis","display_name":"Exploring the Impact of Labeling on Psychophysiological Data Analysis","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4281694204","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767467"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767467","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5004023876","display_name":"Reza Tasooji","orcid":"https://orcid.org/0000-0001-9242-2099"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Tasooji","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056069234","display_name":"Denis Gra\u010danin","orcid":"https://orcid.org/0000-0001-6831-2818"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Denis Gracanin","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013679270","display_name":"Raymond Knapp","orcid":"https://orcid.org/0000-0003-1540-8685"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Benjamin Knapp","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.376,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.450716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"376"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9944,"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"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9944,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9941,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9754,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.7358242},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.62294555},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.48888487},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43354136},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.43299314}],"concepts":[{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.7358242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67868996},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.62294555},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.60464835},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5420751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52932894},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49866915},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.48888487},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43354136},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.43299314},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43136266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41723162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40850142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36414513},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.23793682},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20159179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15449545},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767467","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2002055708","https://openalex.org/W2045528981","https://openalex.org/W2055894321","https://openalex.org/W2075441597","https://openalex.org/W2076063813","https://openalex.org/W2077697924","https://openalex.org/W2088312083","https://openalex.org/W2105931454","https://openalex.org/W2122098299","https://openalex.org/W2162719613","https://openalex.org/W2167557160","https://openalex.org/W2169863498","https://openalex.org/W2185794680","https://openalex.org/W2194775991","https://openalex.org/W2283896980","https://openalex.org/W2295107390","https://openalex.org/W2326674909","https://openalex.org/W2336475021","https://openalex.org/W2552929382","https://openalex.org/W2599124244","https://openalex.org/W2731964405","https://openalex.org/W2791550685","https://openalex.org/W2892035503","https://openalex.org/W2910165986","https://openalex.org/W2911220936","https://openalex.org/W2944851425","https://openalex.org/W2947517803","https://openalex.org/W2956655160","https://openalex.org/W2995034616","https://openalex.org/W3003082921","https://openalex.org/W3109196071","https://openalex.org/W3208133533","https://openalex.org/W4299541734"],"related_works":["https://openalex.org/W4394895745","https://openalex.org/W4390608645","https://openalex.org/W4389633859","https://openalex.org/W4366202965","https://openalex.org/W4247566972","https://openalex.org/W3090563135","https://openalex.org/W2960264696","https://openalex.org/W2570625548","https://openalex.org/W2349679704","https://openalex.org/W1969293528"],"abstract_inverted_index":{"As":[0],"the":[1,16,26,38,99,142],"data":[2,58],"grows,":[3],"extracting":[4],"information":[5],"becomes":[6],"more":[7],"challenging.":[8],"This":[9],"problem":[10],"is":[11,19,32],"significant":[12],"in":[13,59,115],"domains":[14],"where":[15],"ground":[17],"truth":[18],"debatable":[20],"and":[21,74,97,103,133],"can":[22,43,134],"be":[23,44,135],"subjective,":[24],"making":[25],"findings":[27,124],"unreliable.":[28],"Psychophysiological":[29],"responses":[30,63,104],"analysis":[31],"one":[33],"of":[34,62],"these":[35],"domains,":[36],"as":[37],"response":[39,139],"to":[40,54,64,77,91,137],"a":[41,49,60,70,79,93,113],"stimulus":[42],"heavily":[45],"individual.":[46],"We":[47,108],"propose":[48],"simple":[50],"yet":[51],"robust":[52],"approach":[53,68,111,130],"analyzing":[55],"big":[56],"psychophysiological":[57],"form":[61],"external":[65],"stimuli.":[66,143],"Our":[67],"uses":[69],"generic":[71],"binary":[72,128],"classifier":[73],"clustering":[75],"techniques":[76],"generate":[78],"confusion":[80,87],"matrix":[81],"based":[82,140],"on":[83,112,141],"selected":[84],"labels.":[85],"These":[86],"matrices":[88],"are":[89],"analyzed":[90],"provide":[92],"detailed":[94],"statistical":[95],"summary":[96],"report":[98],"differences":[100],"between":[101],"models":[102],"within":[105],"each":[106],"group.":[107],"test":[109],"our":[110,127],"Emotion":[114],"Motion":[116],"database":[117],"that":[118,126],"contains":[119],"over":[120],"60,000":[121],"responses.":[122],"The":[123],"show":[125],"classification":[129],"provides":[131],"insight":[132],"used":[136],"classify":[138]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4281694204","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-18T22:49:54.636194","created_date":"2022-06-13"}