{"id":"https://openalex.org/W4366597729","doi":"https://doi.org/10.1145/3544549.3585602","title":"Improving Multiparty Interactions with a Robot Using Large Language Models","display_name":"Improving Multiparty Interactions with a Robot Using Large Language Models","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366597729","doi":"https://doi.org/10.1145/3544549.3585602"},"language":"en","primary_location":{"id":"doi:10.1145/3544549.3585602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3585602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","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/A5038862204","display_name":"Prasanth Murali","orcid":"https://orcid.org/0000-0001-8751-5629"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prasanth Murali","raw_affiliation_strings":["Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040270827","display_name":"Ian Steenstra","orcid":"https://orcid.org/0000-0002-2514-3302"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian Steenstra","raw_affiliation_strings":["Relational Agents Group, Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Relational Agents Group, Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072291705","display_name":"Hye Sun Yun","orcid":"https://orcid.org/0000-0001-6405-8082"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hye Sun Yun","raw_affiliation_strings":["Khoury College of Computer Sciences, Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Khoury College of Computer Sciences, Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080972292","display_name":"Ameneh Shamekhi","orcid":"https://orcid.org/0009-0005-7354-9365"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210125787","display_name":"Nuance Communications (United States)","ror":"https://ror.org/0311h6702","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ameneh Shamekhi","raw_affiliation_strings":["Nuance Inc., Microsoft, United States"],"affiliations":[{"raw_affiliation_string":"Nuance Inc., Microsoft, United States","institution_ids":["https://openalex.org/I4210125787","https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005469838","display_name":"Timothy Bickmore","orcid":"https://orcid.org/0000-0002-2676-9788"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Bickmore","raw_affiliation_strings":["Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038862204"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":4.0018,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94895438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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/leverage","display_name":"Leverage (statistics)","score":0.7592858672142029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563945055007935},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.7365477085113525},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7307260036468506},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6405547857284546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5856013298034668},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5110775232315063},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49247226119041443},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43012258410453796},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4297920763492584},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41205573081970215},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.361327588558197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3472376763820648},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10085189342498779},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09537985920906067}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7592858672142029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563945055007935},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.7365477085113525},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7307260036468506},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6405547857284546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5856013298034668},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5110775232315063},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49247226119041443},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43012258410453796},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4297920763492584},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41205573081970215},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.361327588558197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3472376763820648},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10085189342498779},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09537985920906067},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544549.3585602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3585602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6750836538","display_name":null,"funder_award_id":"R01CA273208","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W103362674","https://openalex.org/W1511137888","https://openalex.org/W1598140581","https://openalex.org/W1748506543","https://openalex.org/W1762945320","https://openalex.org/W1971791733","https://openalex.org/W1975096659","https://openalex.org/W1975884129","https://openalex.org/W2009266235","https://openalex.org/W2038834551","https://openalex.org/W2046056978","https://openalex.org/W2049633694","https://openalex.org/W2114925438","https://openalex.org/W2136058926","https://openalex.org/W2150610356","https://openalex.org/W2244781703","https://openalex.org/W2293392332","https://openalex.org/W2472957902","https://openalex.org/W2606411279","https://openalex.org/W2610815425","https://openalex.org/W2732138097","https://openalex.org/W2753709704","https://openalex.org/W2795916109","https://openalex.org/W2889031312","https://openalex.org/W2901498041","https://openalex.org/W2928641283","https://openalex.org/W2931992356","https://openalex.org/W2942367614","https://openalex.org/W2963470929","https://openalex.org/W2981138816","https://openalex.org/W3005862303","https://openalex.org/W3006399655","https://openalex.org/W3113144688","https://openalex.org/W3138088145","https://openalex.org/W3141423752","https://openalex.org/W3143843080","https://openalex.org/W3160638507","https://openalex.org/W3174861635","https://openalex.org/W3184324824","https://openalex.org/W4237168004","https://openalex.org/W4298128296","https://openalex.org/W4311000453","https://openalex.org/W4312335238","https://openalex.org/W4312394934","https://openalex.org/W6635314807","https://openalex.org/W6678809451"],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W2149220986","https://openalex.org/W1493012537","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1999004162","https://openalex.org/W2125642021","https://openalex.org/W1521049138","https://openalex.org/W2023466863","https://openalex.org/W2696990509"],"abstract_inverted_index":{"Speaker":[0],"diarization":[1,82,143],"is":[2,22,76],"a":[3,43,77,125,142],"key":[4],"component":[5],"of":[6,12,45,62,122,129,139],"systems":[7,41],"that":[8,102],"support":[9],"multiparty":[10],"interactions":[11],"co-located":[13],"users,":[14],"such":[15,99],"as":[16,141],"meeting":[17],"facilitation":[18],"robots.":[19],"The":[20],"goal":[21],"to":[23,29,55,89,110],"identify":[24,91,111],"who":[25],"spoke":[26],"what,":[27],"often":[28],"provide":[30],"feedback,":[31],"moderate":[32],"participation,":[33],"and":[34,50,84,117,124,135],"personalize":[35],"responses":[36],"by":[37],"the":[38,60,81,86,95,136],"robot.":[39],"Current":[40],"use":[42,61,138],"combination":[44],"acoustic":[46],"(e.g.":[47,53],"pitch":[48],"differences)":[49],"visual":[51],"features":[52],"gaze)":[54],"perform":[56],"diarization,":[57],"but":[58],"involve":[59],"additional":[63],"sensors":[64],"or":[65],"require":[66],"overhead":[67],"signal":[68],"processing":[69],"efforts.":[70],"Alternatively,":[71],"automatic":[72],"speech":[73],"recognition":[74],"(ASR)":[75],"necessary":[78],"step":[79],"in":[80,94],"pipeline,":[83],"utilizing":[85],"transcribed":[87,115],"text":[88,116],"directly":[90],"speaker":[92,112],"labels":[93,113],"conversation":[96],"can":[97],"eliminate":[98],"challenges.":[100],"With":[101],"motivation,":[103],"we":[104],"leverage":[105],"large":[106],"language":[107],"models":[108],"(LLMs)":[109],"from":[114],"observe":[118],"an":[119],"exact":[120],"match":[121],"77%":[123],"word":[126],"level":[127],"accuracy":[128],"90%.":[130],"We":[131],"discuss":[132],"our":[133],"findings":[134],"potential":[137],"LLMs":[140],"tool":[144],"for":[145],"future":[146],"systems.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}