{"id":"https://openalex.org/W4392645801","doi":"https://doi.org/10.1145/3610978.3638168","title":"Scarecrows in Oz: Large Language Models in HRI","display_name":"Scarecrows in Oz: Large Language Models in HRI","publication_year":2024,"publication_date":"2024-03-10","ids":{"openalex":"https://openalex.org/W4392645801","doi":"https://doi.org/10.1145/3610978.3638168"},"language":"en","primary_location":{"id":"doi:10.1145/3610978.3638168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610978.3638168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction","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/A5019767181","display_name":"Cynthia Matuszek","orcid":"https://orcid.org/0000-0003-1383-8120"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cynthia Matuszek","raw_affiliation_strings":["Univ. of Maryland, Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Univ. of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088235727","display_name":"Nick DePalma","orcid":"https://orcid.org/0000-0003-0531-743X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nick Depalma","raw_affiliation_strings":["Semio Community, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Semio Community, Pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001832777","display_name":"Ross Mead","orcid":"https://orcid.org/0000-0002-5664-4687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ross Mead","raw_affiliation_strings":["Semio, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Semio, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736923","display_name":"Tom Williams","orcid":null},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Williams","raw_affiliation_strings":["Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065296199","display_name":"Ruchen Wen","orcid":"https://orcid.org/0000-0003-1590-1787"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruchen Wen","raw_affiliation_strings":["Univ. of Maryland, Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Univ. of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019767181"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":1.022,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78636916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1338","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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/T12128","display_name":"AI in Service Interactions","score":0.9945999979972839,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46739017963409424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43507203459739685},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.43193864822387695},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33347079157829285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3191218078136444},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18045350909233093}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46739017963409424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43507203459739685},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.43193864822387695},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33347079157829285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3191218078136444},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18045350909233093},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610978.3638168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610978.3638168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1136697406","display_name":null,"funder_award_id":"IIS-2024878, IIS-2145642","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G2549202528","display_name":"NRI: FND: Semi-Supervised Deep Learning for Domain Adaptation in Robotic Language Acquisition","funder_award_id":"2024878","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3160381898","display_name":null,"funder_award_id":"N00014-21-1-2418","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G3355253410","display_name":null,"funder_award_id":"FA9550-20-1-0089","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6098521345","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G959850068","display_name":null,"funder_award_id":"N00014-21-1-2418","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G969497474","display_name":"CAREER: Robots, Speech, and Learning in Inclusive Human Spaces","funder_award_id":"2145642","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2131799829","https://openalex.org/W3003205975","https://openalex.org/W3133702157","https://openalex.org/W4283163904","https://openalex.org/W4379054524","https://openalex.org/W4383108852","https://openalex.org/W4383109478","https://openalex.org/W4385231846","https://openalex.org/W4385567216","https://openalex.org/W4389523771","https://openalex.org/W4389665836","https://openalex.org/W4391351849"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"been":[5],"the":[6,12,17,79,96,127,142,153],"focus":[7],"of":[8,44,81,87,98,129,145,155],"intense":[9],"interest":[10],"in":[11,25,47,68],"past":[13],"few":[14],"years":[15],"for":[16,28,41,70],"artificial":[18],"intelligence":[19],"(AI)":[20],"community":[21],"and":[22,59,74,93,122],"their":[23,45],"use":[24,46],"interactive":[26],"robots":[27],"industry":[29,60],"has":[30],"had":[31],"equal":[32],"interest;":[33],"however,":[34],"there":[35],"do":[36],"not":[37],"currently":[38],"exist":[39],"guidelines":[40],"or":[42,65,112,119],"categorizations":[43],"different":[48],"application":[49],"spaces.":[50],"In":[51],"this":[52,103],"workshop,":[53],"we":[54],"bring":[55],"together":[56],"academic":[57],"researchers":[58],"practitioners":[61],"who":[62,75],"are":[63,66],"using":[64],"interested":[67],"LLMs":[69,89,110],"human-robot":[71],"interaction":[72],"(HRI),":[73],"can":[76,90],"contribute":[77],"to":[78,102,138],"development":[80],"a":[82,132],"higher":[83],"level,":[84],"community-wide":[85],"evaluation":[86],"how":[88,146],"fit":[91],"correctly":[92],"defensibly":[94],"into":[95],"future":[97],"HRI.":[99,158],"Relevant":[100],"topics":[101],"workshop":[104],"include":[105],"HRI":[106,123],"studies":[107,124],"that":[108,116,125],"involve":[109,117],"directly":[111],"indirectly,":[113],"technical":[114],"contributions":[115],"utilizing":[118],"modifying":[120],"LLMs,":[121],"utilize":[126],"idea":[128],"\"Scarecrows''":[130],"within":[131,152],"larger":[133],"system.":[134],"We":[135],"also":[136],"intend":[137],"incorporate":[139],"work":[140],"on":[141],"broader":[143],"questions":[144],"these":[147],"models":[148],"should":[149],"be":[150],"conceptualized":[151],"framework":[154],"effective,":[156],"responsible":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}