{"id":"https://openalex.org/W4298128153","doi":"https://doi.org/10.1109/ro-man53752.2022.9900794","title":"Leveraging Cognitive States in Human-Robot Teaming","display_name":"Leveraging Cognitive States in Human-Robot Teaming","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4298128153","doi":"https://doi.org/10.1109/ro-man53752.2022.9900794"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man53752.2022.9900794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900794","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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/A5111870477","display_name":"Jack Kolb","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Kolb","raw_affiliation_strings":["Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087370510","display_name":"Harish Ravichandar","orcid":"https://orcid.org/0000-0002-6635-2637"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harish Ravichandar","raw_affiliation_strings":["Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033265891","display_name":"Sonia Chernova","orcid":"https://orcid.org/0000-0001-6320-0825"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonia Chernova","raw_affiliation_strings":["Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,College of Computing,Atlanta,USA,GA 30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.9322,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75052172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"792","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.991100013256073,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9699000120162964,"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/computer-science","display_name":"Computer science","score":0.668677031993866},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6001402735710144},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5693469643592834},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4963093400001526},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44959911704063416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33373284339904785},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12568536400794983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668677031993866},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6001402735710144},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5693469643592834},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4963093400001526},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44959911704063416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33373284339904785},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12568536400794983},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man53752.2022.9900794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900794","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W957952434","https://openalex.org/W1471578414","https://openalex.org/W2015612049","https://openalex.org/W2015634454","https://openalex.org/W2022717231","https://openalex.org/W2069287462","https://openalex.org/W2072645635","https://openalex.org/W2086679316","https://openalex.org/W2089873518","https://openalex.org/W2097134296","https://openalex.org/W2110017066","https://openalex.org/W2128491181","https://openalex.org/W2128589876","https://openalex.org/W2133991911","https://openalex.org/W2137906458","https://openalex.org/W2141461755","https://openalex.org/W2157488300","https://openalex.org/W2158058159","https://openalex.org/W2158753285","https://openalex.org/W2538961105","https://openalex.org/W2586616796","https://openalex.org/W2605028395","https://openalex.org/W2891663168","https://openalex.org/W2914741383","https://openalex.org/W3022944195","https://openalex.org/W3024346452","https://openalex.org/W3030081134","https://openalex.org/W3073313438","https://openalex.org/W3112504921","https://openalex.org/W3140358070","https://openalex.org/W3187109823","https://openalex.org/W3195404143","https://openalex.org/W4230376475","https://openalex.org/W4255876299","https://openalex.org/W6803835525"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"Mixed":[0],"human-robot":[1,150],"teams":[2],"(HRTs)":[3],"have":[4],"the":[5,18,32,58,100,134,140,192,195,203,214],"potential":[6],"to":[7,23,31,74,114,158,172,202],"perform":[8,159],"complex":[9],"tasks":[10],"by":[11],"leveraging":[12],"diverse":[13],"and":[14,87,129,152],"complementary":[15],"capabilities":[16,65],"within":[17,53],"team.":[19],"However,":[20],"assigning":[21],"humans":[22,47],"operator":[24,64],"roles":[25],"in":[26,35,43,67,71,149],"HRTs":[27],"is":[28,97],"challenging":[29],"due":[30],"significant":[33],"variation":[34],"user":[36,165],"capabilities.":[37],"While":[38],"much":[39],"of":[40,60,63,125,136,142,155,194,209,216,225],"prior":[41],"work":[42],"role":[44,84],"assignment":[45,85],"treats":[46],"as":[48,213],"interchangeable":[49],"(either":[50],"generally":[51],"or":[52,121],"a":[54,89,163,178,222],"category),":[55],"we":[56,138,189],"investigate":[57],"utility":[59],"personalized":[61],"models":[62,154],"based":[66],"relevant":[68],"human":[69,106,183],"factors":[70,103],"an":[72],"effort":[73],"improve":[75],"overall":[76],"team":[77,175],"performance.":[78,197],"We":[79],"call":[80],"this":[81],"approach":[82],"individualized":[83],"(IRA)":[86],"provide":[88],"formal":[90],"definition.":[91],"A":[92],"key":[93],"challenge":[94],"for":[95,191,221],"IRA":[96,170,210],"associated":[98],"with":[99],"fact":[101],"that":[102,104,169,181,205],"affect":[105],"performance":[107,157,176],"are":[108,185],"not":[109],"static":[110],"(e.g.,":[111],"one\u2019s":[112],"ability":[113],"track":[115],"multiple":[116],"objects":[117],"can":[118],"change":[119],"during":[120,133],"between":[122],"tasks).":[123],"Instead":[124],"relying":[126],"on":[127],"time-consuming":[128],"highly-intrusive":[130],"measurements":[131],"taken":[132,146],"execution":[135],"tasks,":[137,151],"propose":[139],"use":[141],"short":[143],"cognitive":[144],"tests,":[145],"before":[147],"engaging":[148],"predictive":[153],"individual":[156],"IRA.":[160],"Results":[161],"from":[162],"comprehensive":[164],"study":[166],"conclusively":[167],"demonstrate":[168],"leads":[171],"significantly":[173],"better":[174],"than":[177],"baseline":[179],"method":[180],"assumes":[182],"operators":[184,217],"interchangeable,":[186],"even":[187],"when":[188],"control":[190],"influence":[193],"robots\u2019":[196],"Further,":[198],"our":[199],"results":[200],"point":[201],"possibility":[204],"such":[206],"relative":[207],"benefits":[208],"will":[211],"increase":[212,220],"number":[215,224],"(i.e.,":[218],"choices)":[219],"fixed":[223],"tasks.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}