{"id":"https://openalex.org/W4410297006","doi":"https://doi.org/10.1109/hri61500.2025.10973917","title":"Templates and Graph Neural Networks for Social Robots Interacting in Small Groups of Varying Sizes","display_name":"Templates and Graph Neural Networks for Social Robots Interacting in Small Groups of Varying Sizes","publication_year":2025,"publication_date":"2025-03-04","ids":{"openalex":"https://openalex.org/W4410297006","doi":"https://doi.org/10.1109/hri61500.2025.10973917"},"language":"en","primary_location":{"id":"doi:10.1109/hri61500.2025.10973917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hri61500.2025.10973917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","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/A5089419892","display_name":"Sarah Gillet","orcid":"https://orcid.org/0000-0001-7130-0826"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sarah Gillet","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033791540","display_name":"Sydney Thompson","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sydney Thompson","raw_affiliation_strings":["Yale University,New Haven,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082559019","display_name":"Iolanda Leite","orcid":"https://orcid.org/0000-0002-2212-4325"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Iolanda Leite","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041256504","display_name":"Marynel V\u00e1zquez","orcid":"https://orcid.org/0000-0003-0698-5472"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marynel V\u00e1zquez","raw_affiliation_strings":["Yale University,New Haven,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3592,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92096657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"458","last_page":"467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7371000051498413,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.7371000051498413,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.6531999707221985,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.5927000045776367,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6889515519142151},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6082921028137207},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49359047412872314},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4481580853462219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38545575737953186},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3155629634857178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889515519142151},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6082921028137207},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49359047412872314},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4481580853462219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38545575737953186},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3155629634857178}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hri61500.2025.10973917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hri61500.2025.10973917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[{"id":"https://openalex.org/G455710082","display_name":"ISLA: Interaktivt L\u00e4rande f\u00f6r Robotar","funder_award_id":"FFL18-0199","funder_id":"https://openalex.org/F4320320940","funder_display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning"}],"funders":[{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2391251536","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2064245428","https://openalex.org/W2170721890","https://openalex.org/W2122871747"],"abstract_inverted_index":{"Social":[0],"robots":[1,62],"need":[2],"to":[3,6,70,94,101,106,117,138,160],"be":[4],"able":[5],"interact":[7,71],"effectively":[8],"with":[9,38,72],"small":[10,39,65],"groups.":[11],"While":[12],"there":[13],"is":[14,78],"a":[15,55,75],"significant":[16],"interest":[17],"in":[18,21,64,74,162],"human-robot":[19],"interaction":[20],"groups,":[22],"little":[23],"focus":[24],"has":[25],"been":[26],"placed":[27],"on":[28,120],"developing":[29],"autonomous":[30],"social":[31],"robot":[32],"decision-making":[33,144],"methods":[34],"that":[35,77,152],"operate":[36],"smoothly":[37],"groups":[40,66,73],"of":[41,89,99],"any":[42],"size":[43],"(e.g.":[44],"2,":[45],"3,":[46],"or":[47,92],"4":[48],"interactants).":[49],"In":[50],"this":[51,142],"work,":[52],"we":[53,82,150],"propose":[54],"Template-":[56],"and":[57,122,130],"Graph-based":[58],"Modeling":[59],"approach":[60],"for":[61,141],"interacting":[63],"(TGM),":[67],"enabling":[68],"them":[69],"way":[76],"group-size":[79],"agnostic.":[80],"Critically,":[81],"separate":[83],"the":[84,87,97,132,155],"decision":[85,98],"about":[86],"target":[88],"their":[90],"communication,":[91],"\u201cwhom":[93],"address?\u201d":[95],"from":[96],"\u201cwhat":[100],"communicate?\u201d,":[102],"which":[103],"allows":[104],"us":[105],"use":[107,112],"template-based":[108],"actions.":[109],"We":[110,124],"further":[111],"Graph":[113],"Neural":[114],"Networks":[115],"(GNNs)":[116],"efficiently":[118],"decide":[119],"\u201cwhom\u201c":[121],"\u201cwhat\u201d.":[123],"evaluated":[125],"TGM":[126,153],"using":[127],"imitation":[128],"learning":[129],"compared":[131],"structured":[133],"reasoning":[134],"achieved":[135],"through":[136],"GNNs":[137],"unstructured":[139],"approaches":[140],"two-part":[143],"problem.":[145],"On":[146],"two":[147],"different":[148],"datasets,":[149],"show":[151],"outperforms":[154],"baselines":[156],"encouraging":[157],"future":[158],"work":[159],"invest":[161],"collecting":[163],"larger":[164],"datasets.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
