{"id":"https://openalex.org/W4415540069","doi":"https://doi.org/10.1145/3746027.3755234","title":"Bridging Domains in Mental Stress Assessment via Retrieval-Augmented Reasoning","display_name":"Bridging Domains in Mental Stress Assessment via Retrieval-Augmented Reasoning","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540069","doi":"https://doi.org/10.1145/3746027.3755234"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100647639","display_name":"Yi Dai","orcid":"https://orcid.org/0000-0003-1219-2436"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Dai","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1219-2436","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071445816","display_name":"Yang Ding","orcid":"https://orcid.org/0000-0003-2992-6758"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ding","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2992-6758","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102840184","display_name":"Kaisheng Zeng","orcid":"https://orcid.org/0000-0002-8104-9652"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaisheng Zeng","raw_affiliation_strings":["Information Support Force Engineering University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8104-9652","affiliations":[{"raw_affiliation_string":"Information Support Force Engineering University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7978","last_page":"7987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.983299970626831,"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/bridging","display_name":"Bridging (networking)","score":0.6990000009536743},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5393999814987183},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4740000069141388},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.4431000053882599},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.41429999470710754},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4099999964237213}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6990000009536743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5496000051498413},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5393999814987183},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44940000772476196},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3968999981880188},{"id":"https://openalex.org/C96199812","wikidata":"https://www.wikidata.org/wiki/Q2145290","display_name":"Mental representation","level":3,"score":0.37610000371932983},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C2982912361","wikidata":"https://www.wikidata.org/wiki/Q1851867","display_name":"Mental model","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C2984493583","wikidata":"https://www.wikidata.org/wiki/Q3500368","display_name":"Mental stress","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25209999084472656},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2006426145","https://openalex.org/W2475295588","https://openalex.org/W2785092132","https://openalex.org/W2947972845","https://openalex.org/W2985449513","https://openalex.org/W3087924339","https://openalex.org/W3095799614","https://openalex.org/W3126505626","https://openalex.org/W3184018974","https://openalex.org/W3212272395","https://openalex.org/W4366968111"],"related_works":[],"abstract_inverted_index":{"Mental":[0],"stress":[1,23,38,77,180],"assessment":[2,31,39,78,163,181],"is":[3,40],"crucial":[4],"for":[5,48,55],"mental":[6,37,49,76],"and":[7,25,42,58,83,127,140,183],"physical":[8],"well-being.":[9],"However,":[10],"it":[11],"faces":[12],"limitations":[13],"due":[14,44],"to":[15,45,129,155,165],"domain":[16,73,154,184],"fragmentation,":[17],"in":[18,22,75],"which":[19],"contextual":[20],"variations":[21],"triggers":[24],"demographics":[26],"hinder":[27],"the":[28,53,162],"generalization":[29,185],"of":[30],"models":[32],"across":[33],"real-world":[34],"scenarios.":[35],"Additionally,":[36],"sensitive":[41],"human-centric":[43],"its":[46],"implications":[47],"health":[50],"interventions,":[51],"emphasizing":[52],"need":[54],"model":[56,123,164],"transparency":[57],"trustworthiness.":[59],"To":[60],"address":[61],"this":[62],"gap,":[63],"we":[64],"propose":[65],"Retrieval-Augmented":[66],"Reasoning,":[67],"a":[68,95,143],"novel":[69],"framework":[70,89,173],"that":[71,171],"bridges":[72],"gaps":[74],"through":[79],"transparent":[80],"step-by-step":[81],"reasoning":[82,97,115],"dynamic":[84],"in-context":[85,150],"example":[86],"retrieval.":[87,167],"Our":[88],"introduces":[90],"two":[91],"key":[92],"components:":[93],"(1)":[94],"''detect-then-assess''":[96],"chain":[98],"decouples":[99],"stress-relevant":[100],"facial":[101],"action":[102],"units":[103],"(AUs)":[104],"from":[105,152,161],"domain-specific":[106],"noise":[107],"by":[108],"first":[109],"generating":[110],"textual":[111],"descriptions":[112,132],"as":[113],"intermediate":[114],"step":[116],"(e.g.,":[117],"''eyebrow:":[118],"inner":[119],"portions":[120],"raised'').":[121],"The":[122],"then":[124],"reflects":[125],"on":[126],"learns":[128],"refine":[130],"these":[131],"via":[133],"Direct":[134],"Preference":[135],"Optimization":[136],"(DPO),":[137],"ensuring":[138],"faithfulness":[139],"helpfulness;":[141],"(2)":[142],"dual-encoder":[144],"multimodal":[145,177],"retriever":[146],"dynamically":[147],"selects":[148],"proper":[149],"examples":[151],"source":[153],"enhance":[156],"target-domain":[157],"assessments,":[158],"leveraging":[159],"feedback":[160],"optimize":[166],"Experimental":[168],"results":[169],"demonstrate":[170],"our":[172],"consistently":[174],"outperforms":[175],"large":[176],"foundation":[178],"models,":[179],"baselines,":[182],"methods.":[186]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}