{"id":"https://openalex.org/W4323537124","doi":"https://doi.org/10.1145/3568294.3580049","title":"TEAM3 Challenge","display_name":"TEAM3 Challenge","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4323537124","doi":"https://doi.org/10.1145/3568294.3580049"},"language":"en","primary_location":{"id":"doi:10.1145/3568294.3580049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3568294.3580049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3568294.3580049","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3568294.3580049","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001898308","display_name":"Michael J. Munje","orcid":"https://orcid.org/0000-0002-9168-0923"},"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":true,"raw_author_name":"Michael J. Munje","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9168-0923","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009189239","display_name":"Lylybell K. Teran","orcid":"https://orcid.org/0000-0001-6107-3893"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lylybell K. Teran","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-6107-3893","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040282917","display_name":"Bradon Thymes","orcid":"https://orcid.org/0000-0002-3754-404X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradon Thymes","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-3754-404X","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004760366","display_name":"Joseph P. Salisbury","orcid":"https://orcid.org/0000-0002-9448-9024"},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph P. Salisbury","raw_affiliation_strings":["Riverside Research, Lexington, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9448-9024","affiliations":[{"raw_affiliation_string":"Riverside Research, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210132419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001898308"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73903463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9984999895095825,"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/T12031","display_name":"Speech and dialogue systems","score":0.9984999895095825,"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":0.996399998664856,"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/T12128","display_name":"AI in Service Interactions","score":0.992900013923645,"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/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.718058705329895},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.717893660068512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624003648757935},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6160470247268677},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6123195886611938},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5567589998245239},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5539295077323914},{"id":"https://openalex.org/keywords/nonverbal-communication","display_name":"Nonverbal communication","score":0.5447377562522888},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5036937594413757},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.48951256275177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36073535680770874},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3265261948108673},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14951291680335999},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.13872331380844116},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13152405619621277}],"concepts":[{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.718058705329895},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.717893660068512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624003648757935},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6160470247268677},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6123195886611938},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5567589998245239},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5539295077323914},{"id":"https://openalex.org/C145633318","wikidata":"https://www.wikidata.org/wiki/Q207125","display_name":"Nonverbal communication","level":2,"score":0.5447377562522888},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5036937594413757},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.48951256275177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36073535680770874},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3265261948108673},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14951291680335999},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.13872331380844116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13152405619621277},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":"doi:10.1145/3568294.3580049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3568294.3580049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3568294.3580049","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3568294.3580049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3568294.3580049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3568294.3580049","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323537124.pdf","grobid_xml":"https://content.openalex.org/works/W4323537124.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1979924955","https://openalex.org/W2024649868","https://openalex.org/W2031252483","https://openalex.org/W2063047401","https://openalex.org/W2142583797","https://openalex.org/W2157134106","https://openalex.org/W2218730605","https://openalex.org/W2295431719","https://openalex.org/W2505900819","https://openalex.org/W2558535589","https://openalex.org/W2604799547","https://openalex.org/W2620746916","https://openalex.org/W2736902602","https://openalex.org/W2767074019","https://openalex.org/W2785671157","https://openalex.org/W2799173177","https://openalex.org/W2806630426","https://openalex.org/W2810242356","https://openalex.org/W2911668358","https://openalex.org/W2913123150","https://openalex.org/W2933492581","https://openalex.org/W2951281980","https://openalex.org/W2975556131","https://openalex.org/W3041216465","https://openalex.org/W3093486804","https://openalex.org/W3093628840","https://openalex.org/W3134725971","https://openalex.org/W3148246558","https://openalex.org/W3158079258","https://openalex.org/W4200284862","https://openalex.org/W4200500145","https://openalex.org/W4206026943","https://openalex.org/W4210359374","https://openalex.org/W4214500342","https://openalex.org/W4255265282","https://openalex.org/W4256431479","https://openalex.org/W4292958059","https://openalex.org/W4297161808","https://openalex.org/W4312401853","https://openalex.org/W4312562542","https://openalex.org/W4312576713","https://openalex.org/W4312985860","https://openalex.org/W4313117420","https://openalex.org/W7006391265"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2391422698","https://openalex.org/W52595306","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W4285028670","https://openalex.org/W4319989004"],"abstract_inverted_index":{"Intuitive":[0],"human-robot":[1,109,138],"collaboration":[2,110],"requires":[3],"adaptive":[4],"modalities":[5],"for":[6,37,75,129],"humans":[7,21],"and":[8,12,22,39,51,79,92,107,116,126,141],"robots":[9,23,30],"to":[10,24,34,54,57,85,119],"communicate":[11,52],"learn":[13],"from":[14],"each":[15],"other.":[16],"For":[17],"diverse":[18,132],"teams":[19,81],"of":[20,73,105,134],"naturally":[25],"collaborate":[26],"on":[27],"novel":[28],"tasks,":[29],"must":[31],"be":[32],"able":[33],"model":[35],"roles":[36,84],"themselves":[38],"other":[40],"team":[41,45,55,61],"members,":[42],"anticipate":[43],"how":[44],"members":[46,56],"may":[47],"perceive":[48],"their":[49],"actions,":[50],"back":[53],"continuously":[58],"promote":[59],"inclusive":[60],"cohesion":[62],"toward":[63],"achieving":[64],"a":[65,71,103,131],"shared":[66],"goal.":[67],"Here,":[68],"we":[69,101],"describe":[70],"set":[72,133],"tasks":[74,111],"studying":[76,130],"mixed":[77],"multi-human":[78],"multi-robot":[80],"with":[82,137],"heterogenous":[83],"achieve":[86],"joint":[87],"goals":[88],"through":[89],"both":[90,114],"voice":[91],"gestural":[93],"interactions.":[94],"Based":[95],"around":[96],"the":[97],"cooperative":[98],"game":[99],"TEAM3,":[100],"specify":[102],"series":[104],"dyadic":[106],"triadic":[108],"that":[112],"require":[113],"verbal":[115],"nonverbal":[117],"communication":[118],"effectively":[120],"accomplish.":[121],"Task":[122],"materials":[123],"are":[124],"inexpensive":[125],"provide":[127],"methods":[128],"challenges":[135],"associated":[136],"communication,":[139],"learning,":[140],"perspective-taking.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2023-03-09T00:00:00"}