{"id":"https://openalex.org/W29198015","doi":null,"title":"A decision theoretic model for stress recognition and user assistance","display_name":"A decision theoretic model for stress recognition and user assistance","publication_year":2005,"publication_date":"2005-07-09","ids":{"openalex":"https://openalex.org/W29198015","mag":"29198015"},"language":"en","primary_location":{"id":"mag:29198015","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/AAAI/2005/AAAI05-083.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5079914128","display_name":"Wenhui Liao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhui Liao","raw_affiliation_strings":["Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633914","display_name":"Weihong Zhang","orcid":"https://orcid.org/0000-0002-4960-4169","observed_orcids":["https://orcid.org/0000-0002-4960-4169","https://orcid.org/0000-0002-4953-6821"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weihong Zhang","raw_affiliation_strings":["Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040262503","display_name":"Zhiwei Zhu","orcid":"https://orcid.org/0000-0003-0083-8359","observed_orcids":["https://orcid.org/0000-0003-0083-8359","https://orcid.org/0009-0006-6122-5125"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhu","raw_affiliation_strings":["Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":"https://orcid.org/0000-0003-0083-8359","affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076346273","display_name":"Qiang Ji","orcid":"https://orcid.org/0000-0002-4302-2889","observed_orcids":["https://orcid.org/0000-0002-4302-2889"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Ji","raw_affiliation_strings":["Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":"https://orcid.org/0000-0002-4302-2889","affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":1.2496,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.77673139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"529","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9731000065803528,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9731000065803528,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.007499999832361937,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.0020000000949949026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stress-detection","display_name":"stress detection","score":0.9300000071525574},{"id":"https://openalex.org/keywords/user-support","display_name":"user support","score":0.9470000267028809},{"id":"https://openalex.org/keywords/influence-diagrams","display_name":"influence diagrams","score":0.9629999995231628},{"id":"https://openalex.org/keywords/multimodal-sensing","display_name":"multimodal sensing","score":0.6480000019073486},{"id":"https://openalex.org/keywords/physiological-measurement","display_name":"physiological measures","score":0.7269999980926514},{"id":"https://openalex.org/keywords/user-performance","display_name":"user performance","score":0.5260000228881836},{"id":"https://openalex.org/keywords/behavioral-data","display_name":"behavioral data","score":0.7689999938011169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827761769294739},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6163595914840698},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5827203989028931},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5538314580917358},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5376080274581909},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5242312550544739},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4980592727661133},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.47862547636032104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45804470777511597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3620975613594055},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.35523104667663574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11892116069793701},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:29198015","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/AAAI/2005/AAAI05-083.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1506560185","https://openalex.org/W1563470303","https://openalex.org/W1574396325","https://openalex.org/W1977137834","https://openalex.org/W1981395202","https://openalex.org/W2028688779","https://openalex.org/W2062242288","https://openalex.org/W2072096526","https://openalex.org/W2102463240","https://openalex.org/W2103257739","https://openalex.org/W2107970389","https://openalex.org/W2122571217","https://openalex.org/W2132434674","https://openalex.org/W2134738818","https://openalex.org/W2142567154","https://openalex.org/W2149129787","https://openalex.org/W2151562475","https://openalex.org/W2339343773","https://openalex.org/W2913758949"],"related_works":["https://openalex.org/W7096860584","https://openalex.org/W2152869179","https://openalex.org/W2163660052","https://openalex.org/W3128352929","https://openalex.org/W1991341398","https://openalex.org/W3107108360","https://openalex.org/W3160247955","https://openalex.org/W2588951859","https://openalex.org/W3040900694","https://openalex.org/W3202768232"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,60,101],"general":[3],"unified":[4],"probabilistic":[5,28],"decisiontheoretic":[6],"model":[7],"based":[8],"on":[9],"Influence":[10],"Diagrams":[11],"for":[12],"simultaneously":[13],"modeling":[14],"both":[15],"user":[16,20,49,56,82],"stress":[17,93],"recognition":[18,23],"and":[19,51,84,94,97],"assistance.":[21,57],"Stress":[22],"is":[24,40,64],"achieved":[25,42],"through":[26],"dynamic":[27],"inference":[29],"from":[30,35,74],"the":[31,45,52,68,72,87],"available":[32],"sensory":[33],"data":[34],"multiple-modality":[36],"sources.":[37],"User":[38],"assistance":[39,99],"automatically":[41],"by":[43],"balancing":[44],"benefits":[46],"of":[47,54],"improving":[48],"performance":[50,83],"costs":[53],"performing":[55],"In":[58],"addition,":[59],"non-invasive":[61],"real-time":[62],"system":[63,88],"built":[65],"to":[66],"validate":[67],"proposed":[69],"framework.":[70],"Utilizing":[71],"evidences":[73],"four":[75],"modalities":[76],"(physical":[77],"appearance":[78],"features,":[79],"physiological":[80],"measures,":[81],"behavioral":[85],"data),":[86],"can":[89],"successfully":[90],"recognize":[91],"human":[92],"provide":[95],"timely":[96],"appropriate":[98],"in":[100],"task-specific":[102],"environment.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}
