{"id":"https://openalex.org/W1871757459","doi":"https://doi.org/10.3233/idt-140216","title":"Modeling observer stress: A computational approach","display_name":"Modeling observer stress: A computational approach","publication_year":2014,"publication_date":"2014-12-11","ids":{"openalex":"https://openalex.org/W1871757459","doi":"https://doi.org/10.3233/idt-140216","mag":"1871757459"},"language":"en","primary_location":{"id":"doi:10.3233/idt-140216","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-140216","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-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/A5101864214","display_name":"Nandita Sharma","orcid":"https://orcid.org/0000-0003-2191-8462"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nandita Sharma","raw_affiliation_strings":["Information and Human Centred Computing Research Group, Research School of Computer Science, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Information and Human Centred Computing Research Group, Research School of Computer Science, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030379402","display_name":"Tom Gedeon","orcid":"https://orcid.org/0000-0001-8356-4909"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tom Gedeon","raw_affiliation_strings":["Information and Human Centred Computing Research Group, Research School of Computer Science, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Information and Human Centred Computing Research Group, Research School of Computer Science, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101864214"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06340565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"2","first_page":"191","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9753999710083008,"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/T13283","display_name":"Mental Health Research Topics","score":0.9588000178337097,"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/computer-science","display_name":"Computer science","score":0.7117272615432739},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6854734420776367},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5784209370613098},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.5705996155738831},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5608968138694763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5568853616714478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5322145223617554},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4898199737071991},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4498419761657715},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44341376423835754},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4097788631916046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117272615432739},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6854734420776367},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5784209370613098},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.5705996155738831},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5608968138694763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5568853616714478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5322145223617554},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4898199737071991},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4498419761657715},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44341376423835754},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4097788631916046},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-140216","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-140216","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.44999998807907104},{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W90289601","https://openalex.org/W136930598","https://openalex.org/W1510429593","https://openalex.org/W1523592268","https://openalex.org/W1542007717","https://openalex.org/W1569369988","https://openalex.org/W1588233835","https://openalex.org/W1725052914","https://openalex.org/W1963488110","https://openalex.org/W1965974192","https://openalex.org/W1968829280","https://openalex.org/W1984794457","https://openalex.org/W1997313699","https://openalex.org/W2007738693","https://openalex.org/W2009250875","https://openalex.org/W2024650277","https://openalex.org/W2031590924","https://openalex.org/W2036657109","https://openalex.org/W2037983661","https://openalex.org/W2042324951","https://openalex.org/W2043324873","https://openalex.org/W2044870380","https://openalex.org/W2045096334","https://openalex.org/W2063871406","https://openalex.org/W2065630971","https://openalex.org/W2072062726","https://openalex.org/W2075904762","https://openalex.org/W2081189996","https://openalex.org/W2088822583","https://openalex.org/W2093001406","https://openalex.org/W2094265147","https://openalex.org/W2097875399","https://openalex.org/W2101206558","https://openalex.org/W2112312480","https://openalex.org/W2125040730","https://openalex.org/W2126719297","https://openalex.org/W2127865934","https://openalex.org/W2129652475","https://openalex.org/W2134050473","https://openalex.org/W2139916508","https://openalex.org/W2140190241","https://openalex.org/W2142567154","https://openalex.org/W2143748665","https://openalex.org/W2163660052","https://openalex.org/W2168031754","https://openalex.org/W2171801645","https://openalex.org/W2221676009","https://openalex.org/W2419454997","https://openalex.org/W2425196103","https://openalex.org/W2541470670","https://openalex.org/W3023540311","https://openalex.org/W3146512835"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W3192036299","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"Stress":[0],"is":[1,17],"a":[2],"major":[3,11],"problem":[4],"in":[5,33],"our":[6],"society":[7],"today":[8],"and":[9],"poses":[10],"concerns":[12],"for":[13],"the":[14],"future.":[15],"It":[16],"important":[18],"to":[19,29],"gain":[20],"an":[21],"objective":[22],"understanding":[23],"of":[24],"how":[25],"average":[26],"individuals":[27],"respond":[28],"events":[30],"they":[31,36],"observe":[32],"typical":[34],"environments":[35],"encounter.":[37],"We":[38],"developed":[39]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}