{"id":"https://openalex.org/W2947121966","doi":"https://doi.org/10.1109/cogsima.2019.8724197","title":"Measuring the Collective Allostatic Load","display_name":"Measuring the Collective Allostatic Load","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2947121966","doi":"https://doi.org/10.1109/cogsima.2019.8724197","mag":"2947121966"},"language":"en","primary_location":{"id":"doi:10.1109/cogsima.2019.8724197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2019.8724197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","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/A5075960743","display_name":"Kemal Davasl\u0131o\u011flu","orcid":"https://orcid.org/0000-0003-2745-6764"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kemal Davaslioglu","raw_affiliation_strings":["Intelligent Automation Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072483627","display_name":"Bob Pokorny","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bob Pokorny","raw_affiliation_strings":["Intelligent Automation Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089570143","display_name":"Yalin E. Sagduyu","orcid":"https://orcid.org/0000-0003-1576-5527"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yalin E. Sagduyu","raw_affiliation_strings":["Intelligent Automation Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017667213","display_name":"Henrik Molintas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henrik Molintas","raw_affiliation_strings":["Intelligent Automation Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110535973","display_name":"Sohraab Soltani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sohraab Soltani","raw_affiliation_strings":["Intelligent Automation Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051204500","display_name":"Rebecca Grossman","orcid":"https://orcid.org/0000-0002-4943-1069"},"institutions":[{"id":"https://openalex.org/I139290212","display_name":"Hofstra University","ror":"https://ror.org/03pm18j10","country_code":"US","type":"education","lineage":["https://openalex.org/I139290212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca Grossman","raw_affiliation_strings":["Department of Psychology, Hofstra University, Hempstead, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, Hofstra University, Hempstead, NY, USA","institution_ids":["https://openalex.org/I139290212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108211257","display_name":"Clint Bowers","orcid":"https://orcid.org/0000-0001-6988-9934"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clint Bowers","raw_affiliation_strings":["Department of Psychology, University of Central Florida, Orlando, FL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Central Florida, Orlando, FL, United States","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1113,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43352601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/allostatic-load","display_name":"Allostatic load","score":0.933498740196228},{"id":"https://openalex.org/keywords/allostasis","display_name":"Allostasis","score":0.4536055028438568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42970070242881775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.25541001558303833},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12781327962875366}],"concepts":[{"id":"https://openalex.org/C187150481","wikidata":"https://www.wikidata.org/wiki/Q4733156","display_name":"Allostatic load","level":2,"score":0.933498740196228},{"id":"https://openalex.org/C157541749","wikidata":"https://www.wikidata.org/wiki/Q3612637","display_name":"Allostasis","level":2,"score":0.4536055028438568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42970070242881775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25541001558303833},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12781327962875366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cogsima.2019.8724197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2019.8724197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W7603151","https://openalex.org/W1968553842","https://openalex.org/W1971609283","https://openalex.org/W1979245593","https://openalex.org/W1982835526","https://openalex.org/W2052143620","https://openalex.org/W2084346676","https://openalex.org/W2094978118","https://openalex.org/W2095218090","https://openalex.org/W2339426741","https://openalex.org/W2339693659","https://openalex.org/W2399292929","https://openalex.org/W2736294133","https://openalex.org/W2755278867","https://openalex.org/W4232534544"],"related_works":["https://openalex.org/W2071271451","https://openalex.org/W3108062031","https://openalex.org/W4212973328","https://openalex.org/W2120814765","https://openalex.org/W4303627976","https://openalex.org/W112970541","https://openalex.org/W4237547583","https://openalex.org/W2481275823","https://openalex.org/W3189001734","https://openalex.org/W1989523576"],"abstract_inverted_index":{"Teams":[0],"are":[1,41,96,178],"at":[2],"the":[3,49,68,108,231,237],"core":[4],"of":[5,36,101,111,124,133,146,199,233],"organizations":[6],"and":[7,33,45,57,62,78,92,103,113,116,159,173,201,225,229,239],"their":[8,55],"success":[9],"depends":[10],"on":[11,19,87,170,236],"multiple":[12],"factors.":[13],"When":[14],"faced":[15],"with":[16,98],"stressful":[17],"conditions":[18],"daily":[20],"basis":[21],"such":[22],"as":[23,48,59,63],"time":[24],"pressure,":[25],"rapidly":[26],"unfolding":[27],"events,":[28],"high":[29],"information":[30],"processing":[31,138],"demand,":[32],"severe":[34],"consequences":[35],"wrong":[37],"decisions,":[38],"team":[39,88,134,141,174,210,240],"members":[40],"exposed":[42],"to":[43,84,106,129],"\u201cwear":[44],"tear,\u201d":[46],"termed":[47],"Allostatic":[50,70],"Load,":[51],"that":[52,75,208,222],"can":[53],"diminish":[54],"performance":[56,142],"resilience":[58],"an":[60],"individual":[61],"a":[64,99,122,136,144,151,160,181],"team.":[65],"We":[66,165,217],"present":[67,166],"Collective":[69],"Load":[71],"Measures":[72],"(CALM)":[73],"system":[74],"collects,":[76],"aggregates,":[77],"analyzes":[79],"data":[80,149,157],"collected":[81],"from":[82],"individuals":[83],"make":[85],"assessments":[86,95],"situation":[89,118],"awareness,":[90],"performance,":[91],"resilience.":[93],"These":[94],"accompanied":[97],"set":[100,123,145],"recommendation":[102],"intervention":[104],"strategies":[105],"alleviate":[107],"adverse":[109],"effects":[110],"acute":[112],"chronic":[114],"stressors":[115],"support":[117],"awareness.":[119],"CALM":[120],"includes":[121],"commercial":[125],"off-the-shelf":[126],"(COTS)":[127],"sensors":[128],"collect":[130],"physiological":[131,171,197],"responses":[132,172,198],"members,":[135],"speech":[137],"module,":[139],"quantitative":[140],"metrics,":[143],"algorithms":[147],"for":[148,155,163],"analysis,":[150],"mobile":[152],"phone":[153],"app":[154],"ambulatory":[156],"collection,":[158],"web-based":[161],"dashboard":[162],"visualization.":[164],"several":[167],"hypotheses":[168],"based":[169],"communication":[175],"patterns,":[176],"which":[177],"tested":[179],"through":[180],"human":[182,187],"subject":[183,188],"experiment":[184,189],"study.":[185],"Our":[186],"results":[190],"do":[191],"not":[192],"show":[193,207],"significant":[194,213],"difference":[195],"in":[196],"good":[200,224],"poor":[202],"performing":[203,227],"teams,":[204],"but":[205],"they":[206],"some":[209],"roles":[211],"demonstrate":[212],"cognitive":[214],"stress":[215],"indicators.":[216],"also":[218],"identify":[219],"specific":[220],"patterns":[221,235],"distinguish":[223],"poorly":[226],"teams":[228],"discuss":[230],"dependency":[232],"these":[234],"task":[238],"characteristics.":[241]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
