{"id":"https://openalex.org/W2166090144","doi":"https://doi.org/10.1109/icnc.2009.242","title":"Study on Unified Model of Emotional State in HCI","display_name":"Study on Unified Model of Emotional State in HCI","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2166090144","doi":"https://doi.org/10.1109/icnc.2009.242","mag":"2166090144"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2009.242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2009.242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Fifth International Conference on Natural Computation","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/A5100392067","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-7215-7627"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Information Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I78675632","https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343131","display_name":"Zhiliang Wang","orcid":"https://orcid.org/0000-0002-1233-621X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiliang Wang","raw_affiliation_strings":["School of Information Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I78675632","https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100392067"],"corresponding_institution_ids":["https://openalex.org/I78675632","https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18333072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12496","display_name":"Color perception and design","score":0.9386000037193298,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7933696508407593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6593567728996277},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6216817498207092},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5541523694992065},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5167273879051208},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48283466696739197},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45756179094314575},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4400922954082489},{"id":"https://openalex.org/keywords/unified-model","display_name":"Unified Model","score":0.43324488401412964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4161027669906616},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41302716732025146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2646385431289673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24535176157951355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16431313753128052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1474742293357849}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7933696508407593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593567728996277},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6216817498207092},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5541523694992065},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5167273879051208},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48283466696739197},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45756179094314575},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4400922954082489},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.43324488401412964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4161027669906616},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41302716732025146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2646385431289673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24535176157951355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16431313753128052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1474742293357849},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2009.242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2009.242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Fifth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5799999833106995,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1987862410","https://openalex.org/W2116871363","https://openalex.org/W2125797832","https://openalex.org/W2132895695","https://openalex.org/W2143453194","https://openalex.org/W2146799102","https://openalex.org/W2349346285","https://openalex.org/W2376743787","https://openalex.org/W6681127103","https://openalex.org/W6709479608","https://openalex.org/W7034447433"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"To":[0],"emotional":[1],"state":[2],"self-converting":[3],"and":[4,44],"stimulation":[5],"converting":[6],"happens":[7],"alternately,":[8],"continuous":[9],"generation":[10],"of":[11,54],"emotion":[12],"is":[13,22],"needed":[14],"in":[15,30],"HCI":[16],"process.":[17],"So":[18],"a":[19],"unified":[20,55],"model":[21,31,46],"proposed":[23],"as":[24],"foundation.":[25],"After":[26],"calculating":[27],"the":[28,52],"matrix":[29],"using":[32],"particle":[33],"swarm":[34],"optimization":[35],"(PSO),":[36],"its":[37],"effect":[38],"could":[39],"cover":[40],"Markov":[41],"Chain":[42],"Model":[43],"HMM":[45],"mostly.":[47],"In":[48],"addition,":[49],"Simulation":[50],"shows":[51],"advantages":[53],"model.":[56]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}