{"id":"https://openalex.org/W4416582759","doi":"https://doi.org/10.1109/access.2025.3636147","title":"Psychological Stress Inference for Professional Women Via Multimodal Deep Representations","display_name":"Psychological Stress Inference for Professional Women Via Multimodal Deep Representations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416582759","doi":"https://doi.org/10.1109/access.2025.3636147"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3636147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3636147","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120376264","display_name":"Ma Jiahui","orcid":"https://orcid.org/0009-0002-1742-9631"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ma Jiahui","raw_affiliation_strings":["Queen Mary University of London, London, U.K","Queen Mary University of London, Mile End Rd, Bethnal Green, London, UK"],"raw_orcid":"https://orcid.org/0009-0002-1742-9631","affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, Mile End Rd, Bethnal Green, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120376264"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33429599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"208711","last_page":"208735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.19689999520778656,"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/T13283","display_name":"Mental Health Research Topics","score":0.19689999520778656,"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/T12488","display_name":"Mental Health via Writing","score":0.164000004529953,"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":0.11569999903440475,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7276999950408936},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5367000102996826},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4690000116825104},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4596000015735626},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.44609999656677246},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4449000060558319},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41749998927116394},{"id":"https://openalex.org/keywords/neurocognitive","display_name":"Neurocognitive","score":0.3955000042915344}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7276999950408936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678000092506409},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46860000491142273},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45239999890327454},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.44200000166893005},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C172467417","wikidata":"https://www.wikidata.org/wiki/Q1670397","display_name":"Neurocognitive","level":3,"score":0.3955000042915344},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3921000063419342},{"id":"https://openalex.org/C33002781","wikidata":"https://www.wikidata.org/wiki/Q4826617","display_name":"Automaticity","level":3,"score":0.36980000138282776},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C97508593","wikidata":"https://www.wikidata.org/wiki/Q1359069","display_name":"Contingency","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3636147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3636147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2088068432","https://openalex.org/W2088836734","https://openalex.org/W2095569536","https://openalex.org/W2107337543","https://openalex.org/W2116669434","https://openalex.org/W2161365979","https://openalex.org/W2165016477","https://openalex.org/W2171801645","https://openalex.org/W2557159259","https://openalex.org/W2745346281","https://openalex.org/W2919011445","https://openalex.org/W2958197594","https://openalex.org/W2989604896","https://openalex.org/W3014933423","https://openalex.org/W3127108463","https://openalex.org/W3127888425","https://openalex.org/W3134972314","https://openalex.org/W3148075658","https://openalex.org/W3175852469","https://openalex.org/W3206776536","https://openalex.org/W3214940099","https://openalex.org/W4289868886","https://openalex.org/W4298004595","https://openalex.org/W4312319631","https://openalex.org/W4312788611","https://openalex.org/W4321101505","https://openalex.org/W4386191794","https://openalex.org/W4387306788","https://openalex.org/W4389274321","https://openalex.org/W4390691951","https://openalex.org/W4391543461","https://openalex.org/W4404447302","https://openalex.org/W4404480046"],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"latent":[1,104],"psychological":[2],"stress":[3,74,88],"in":[4,137],"socio-cognitive":[5],"and":[6,23,44,93,96,113,121,130,139],"occupational":[7],"environments":[8],"is":[9,55],"critical":[10],"for":[11,40],"intelligent":[12],"human-centric":[13],"computing,":[14],"particularly":[15],"under":[16],"conditions":[17],"of":[18,48,73,133],"role":[19],"conflict,":[20],"hierarchical":[21],"pressure,":[22],"cognitive":[24],"overload.":[25],"Existing":[26],"inference":[27],"methods,":[28],"which":[29],"often":[30],"rely":[31],"on":[32],"self-reports":[33],"or":[34],"shallow":[35],"behavioral":[36],"cues,":[37],"are":[38],"insufficient":[39],"capturing":[41],"the":[42,70],"multifactorial":[43],"temporally":[45],"dynamic":[46,140],"nature":[47],"internal":[49,135],"stress.":[50],"A":[51],"novel":[52],"computational":[53],"framework":[54,77],"introduced,":[56],"integrating":[57],"a":[58,80,98],"graph-based":[59],"multimodal":[60],"embedding":[61],"network":[62,84],"with":[63],"an":[64],"adaptive":[65],"strategy":[66],"engine":[67],"to":[68],"reflect":[69],"interactional":[71],"semantics":[72],"propagation.":[75],"The":[76],"includes":[78],"StressGraph,":[79],"cognitive-interactional":[81],"graph":[82,91],"dynamics":[83],"that":[85,102],"models":[86],"time-evolving":[87],"states":[89,136],"via":[90],"convolution":[92],"recurrent":[94],"operations,":[95],"NeuroReaSON,":[97],"neurocognitive":[99],"realignment":[100,112],"module":[101],"transforms":[103],"embeddings":[105],"into":[106],"individualized":[107],"mitigation":[108],"strategies":[109],"through":[110],"predictive":[111,119],"simulation.":[114],"Experimental":[115],"results":[116],"demonstrate":[117],"improved":[118],"accuracy":[120],"long-horizon":[122],"strategic":[123],"coherence":[124],"over":[125],"existing":[126],"approaches,":[127],"supporting":[128],"scalable":[129],"interpretable":[131],"modeling":[132],"complex":[134],"uncertain":[138],"environments.":[141]},"counts_by_year":[],"updated_date":"2025-12-16T23:43:54.943958","created_date":"2025-11-25T00:00:00"}
