{"id":"https://openalex.org/W7125590424","doi":"https://doi.org/10.1109/metroxraine66377.2025.11339922","title":"Reproducible Physiological Features in Affective Computing: A Preliminary Analysis on Arousal Modeling","display_name":"Reproducible Physiological Features in Affective Computing: A Preliminary Analysis on Arousal Modeling","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125590424","doi":"https://doi.org/10.1109/metroxraine66377.2025.11339922"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11339922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11339922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-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/A5024159274","display_name":"Andrea Gargano","orcid":"https://orcid.org/0000-0002-9997-2592"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Gargano","raw_affiliation_strings":["Università di Pisa,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Università di Pisa,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082516782","display_name":"Jasin Machkour","orcid":"https://orcid.org/0000-0002-4451-6653"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jasin Machkour","raw_affiliation_strings":["TU Darmstadt,Darmstadt,Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089812005","display_name":"M. Nardelli","orcid":"https://orcid.org/0000-0003-0453-7465"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mimma Nardelli","raw_affiliation_strings":["Università di Pisa,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Università di Pisa,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007174065","display_name":"Enzo Pasquale Scilingo","orcid":"https://orcid.org/0000-0003-2588-4917"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enzo Pasquale Scilingo","raw_affiliation_strings":["Università di Pisa,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Università di Pisa,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":null,"display_name":"Michael Muma","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Muma","raw_affiliation_strings":["TU Darmstadt,Darmstadt,Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024159274"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75221975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9627000093460083,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9627000093460083,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.009999999776482582,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.008999999612569809,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.6830000281333923},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.48260000348091125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4489000141620636},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.37560001015663147},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/psychophysiology","display_name":"Psychophysiology","score":0.36820000410079956}],"concepts":[{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6830000281333923},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6096000075340271},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.48420000076293945},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C23677625","wikidata":"https://www.wikidata.org/wiki/Q1428943","display_name":"Psychophysiology","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3012999892234802},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.25529998540878296},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11339922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11339922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1346327","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1346327","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.581031322479248,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G229135909","display_name":null,"funder_award_id":"101042407","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321976","display_name":"Haridus- ja Teadusministeerium","ror":"https://ror.org/051aqjh92"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W596238075","https://openalex.org/W1239497932","https://openalex.org/W1862394037","https://openalex.org/W1929108078","https://openalex.org/W1951724000","https://openalex.org/W1972200139","https://openalex.org/W2029334490","https://openalex.org/W2035632562","https://openalex.org/W2049941387","https://openalex.org/W2055538060","https://openalex.org/W2070051876","https://openalex.org/W2081681829","https://openalex.org/W2108139264","https://openalex.org/W2110065044","https://openalex.org/W2120945046","https://openalex.org/W2149628368","https://openalex.org/W2164104048","https://openalex.org/W2171138447","https://openalex.org/W2221831393","https://openalex.org/W2285072859","https://openalex.org/W2329439512","https://openalex.org/W2339862654","https://openalex.org/W2406493898","https://openalex.org/W2560339715","https://openalex.org/W2606131561","https://openalex.org/W2768227697","https://openalex.org/W2944277248","https://openalex.org/W2958197594","https://openalex.org/W2979903110","https://openalex.org/W3013778231","https://openalex.org/W3144177084","https://openalex.org/W4211079158","https://openalex.org/W4235019172","https://openalex.org/W4285244280","https://openalex.org/W4293153171","https://openalex.org/W4298149657","https://openalex.org/W4398169618","https://openalex.org/W4406320626","https://openalex.org/W4408352845","https://openalex.org/W4408476096"],"related_works":[],"abstract_inverted_index":{"In":[0],"Affective":[1,131],"Computing,":[2],"a":[3,85,109],"key":[4],"challenge":[5],"lies":[6],"in":[7,122,130,140],"reliably":[8],"linking":[9],"subjective":[10],"emotional":[11],"experiences":[12],"with":[13,37,106],"objective":[14],"physiological":[15,27,123],"markers.":[16],"This":[17],"preliminary":[18],"study":[19],"addresses":[20],"the":[21,44,74,116],"issue":[22],"of":[23,40,48,61,118],"reproducibility":[24,120],"by":[25],"identifying":[26],"features":[28,54,99,124],"from":[29,56],"cardiovascular":[30],"and":[31,58,102,145,155],"electrodermal":[32,59],"signals":[33,60],"that":[34],"are":[35],"associated":[36],"continuous":[38],"self-reports":[39],"arousal":[41],"levels.":[42],"Using":[43],"Continuously":[45],"Annotated":[46],"Signal":[47],"Emotion":[49],"dataset,":[50],"we":[51],"analyzed":[52],"164":[53],"extracted":[55],"cardiac":[57],"30":[62],"participants":[63],"exposed":[64],"to":[65],"short":[66],"emotion-evoking":[67],"videos.":[68],"Feature":[69],"selection":[70,82],"was":[71],"performed":[72],"using":[73],"Terminating-Random":[75],"Experiments":[76],"(T-Rex)":[77],"method,":[78],"which":[79],"performs":[80],"variable":[81],"systematically":[83],"controlling":[84],"user-defined":[86],"target":[87],"False":[88],"Discovery":[89],"Rate.":[90],"Remarkably,":[91],"among":[92],"all":[93],"candidate":[94],"features,":[95],"only":[96],"two":[97],"electrodermal-derived":[98],"exhibited":[100],"reproducible":[101],"statistically":[103],"significant":[104],"associations":[105],"arousal,":[107],"achieving":[108],"100%":[110],"confirmation":[111],"rate.":[112],"These":[113],"results":[114],"highlight":[115],"necessity":[117],"rigorous":[119],"assessments":[121],"selection,":[125],"an":[126],"aspect":[127],"often":[128],"overlooked":[129],"Computing.":[132],"Our":[133],"approach":[134],"is":[135],"particularly":[136],"promising":[137],"for":[138],"applications":[139],"safety-critical":[141],"environments":[142],"requiring":[143],"trustworthy":[144],"reliable":[146],"white":[147],"box":[148],"models,":[149],"such":[150],"as":[151],"mental":[152],"disorder":[153],"recognition":[154],"human-robot":[156],"interaction":[157],"systems.":[158]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-25T00:00:00"}