{"id":"https://openalex.org/W2915273306","doi":"https://doi.org/10.1109/thms.2019.2895753","title":"Modeling Interaction Structure for Robot Imitation Learning of Human Social Behavior","display_name":"Modeling Interaction Structure for Robot Imitation Learning of Human Social Behavior","publication_year":2019,"publication_date":"2019-02-26","ids":{"openalex":"https://openalex.org/W2915273306","doi":"https://doi.org/10.1109/thms.2019.2895753","mag":"2915273306"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2019.2895753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2019.2895753","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5102898972","display_name":"Malcolm Doering","orcid":"https://orcid.org/0000-0002-6552-9824"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Malcolm Doering","raw_affiliation_strings":["Advanced Telecommunications Research Institute International, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6552-9824","affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079656039","display_name":"Dylan F. Glas","orcid":"https://orcid.org/0000-0002-2071-1219"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dylan F. Glas","raw_affiliation_strings":["Advanced Telecommunications Research Institute International, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2071-1219","affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425832","display_name":"Hiroshi Ishiguro","orcid":"https://orcid.org/0000-0002-0805-7648"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ishiguro","raw_affiliation_strings":["Advanced Telecommunications Research Institute International, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210104143"],"apc_list":null,"apc_paid":null,"fwci":2.748,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92382476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"49","issue":"3","first_page":"219","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12031","display_name":"Speech and dialogue systems","score":0.996999979019165,"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/imitation","display_name":"Imitation","score":0.7881010174751282},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7421320080757141},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6951882839202881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935213804244995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268807053565979},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6255104541778564},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5830255150794983},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5108913779258728},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4886808693408966},{"id":"https://openalex.org/keywords/social-robot","display_name":"Social robot","score":0.4282892346382141},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4122399091720581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3463732898235321},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2221176028251648},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.1758015751838684},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.16592055559158325},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16543257236480713},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08010798692703247}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.7881010174751282},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7421320080757141},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6951882839202881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935213804244995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268807053565979},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6255104541778564},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5830255150794983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5108913779258728},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4886808693408966},{"id":"https://openalex.org/C162947575","wikidata":"https://www.wikidata.org/wiki/Q2005645","display_name":"Social robot","level":5,"score":0.4282892346382141},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4122399091720581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3463732898235321},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2221176028251648},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.1758015751838684},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.16592055559158325},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16543257236480713},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08010798692703247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2019.2895753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2019.2895753","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W11497584","https://openalex.org/W143174683","https://openalex.org/W174150235","https://openalex.org/W174404835","https://openalex.org/W182831726","https://openalex.org/W1485735559","https://openalex.org/W1573993894","https://openalex.org/W1591706642","https://openalex.org/W1966621938","https://openalex.org/W1980763452","https://openalex.org/W2030825785","https://openalex.org/W2055472151","https://openalex.org/W2055537935","https://openalex.org/W2063904635","https://openalex.org/W2064675550","https://openalex.org/W2072006662","https://openalex.org/W2077638917","https://openalex.org/W2104210067","https://openalex.org/W2104676377","https://openalex.org/W2105617746","https://openalex.org/W2110575115","https://openalex.org/W2113362740","https://openalex.org/W2113924036","https://openalex.org/W2124585778","https://openalex.org/W2124741472","https://openalex.org/W2128970689","https://openalex.org/W2146502635","https://openalex.org/W2153190547","https://openalex.org/W2156247618","https://openalex.org/W2167702024","https://openalex.org/W2169066263","https://openalex.org/W2174706414","https://openalex.org/W2186038540","https://openalex.org/W2197523013","https://openalex.org/W2200315443","https://openalex.org/W2250297846","https://openalex.org/W2251235149","https://openalex.org/W2400638273","https://openalex.org/W2405765071","https://openalex.org/W2468710617","https://openalex.org/W2516310909","https://openalex.org/W2546585758","https://openalex.org/W2550691346","https://openalex.org/W2554972835","https://openalex.org/W2593751037","https://openalex.org/W2594637669","https://openalex.org/W2766140862","https://openalex.org/W2778342530","https://openalex.org/W2807142242","https://openalex.org/W2963167649","https://openalex.org/W2963625764","https://openalex.org/W2998574808","https://openalex.org/W3123427206","https://openalex.org/W4226065182","https://openalex.org/W4295249402","https://openalex.org/W4398786193","https://openalex.org/W6600426076","https://openalex.org/W6600493230","https://openalex.org/W6607011084","https://openalex.org/W6607105137","https://openalex.org/W6629041193","https://openalex.org/W6635590879","https://openalex.org/W6668521172","https://openalex.org/W6675907514","https://openalex.org/W6677055398","https://openalex.org/W6681435938","https://openalex.org/W6684552912","https://openalex.org/W6686542777","https://openalex.org/W6687195041","https://openalex.org/W6691246603","https://openalex.org/W6712785310","https://openalex.org/W6752572083"],"related_works":["https://openalex.org/W2160434794","https://openalex.org/W3005142023","https://openalex.org/W2166267632","https://openalex.org/W2049851324","https://openalex.org/W4250841346","https://openalex.org/W2344425795","https://openalex.org/W2902781206","https://openalex.org/W2759485689","https://openalex.org/W4388623439","https://openalex.org/W4392944000"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,23,35,79,90],"learning-by-imitation":[4],"technique":[5,75,95],"that":[6,52],"learns":[7,49,84],"social":[8],"robot":[9,57,83],"interaction":[10,16],"behaviors":[11],"from":[12,22],"natural":[13],"human-":[14],"human":[15,33,65],"data":[17],"and":[18,67,102,112,123],"requires":[19],"minimum":[20],"input":[21],"designer.":[24],"To":[25],"solve":[26],"the":[27,56,62,68,82,87],"problem":[28],"of":[29,72,89],"responding":[30],"to":[31,85,109,118,127],"ambiguous":[32,110],"actions,":[34],"novel":[36],"topic":[37,71],"clustering":[38],"algorithm":[39],"based":[40,60],"on":[41,61],"action":[42,55,66],"cooccurrence":[43],"frequencies":[44],"is":[45,76],"introduced.":[46],"The":[47,74,93],"system":[48],"human-readable":[50],"rules":[51],"dictate":[53],"which":[54],"should":[58],"take,":[59],"most":[63],"recent":[64],"current":[69],"estimated":[70],"conversation.":[73],"demonstrated":[77],"in":[78,100],"scenario":[80],"where":[81],"play":[86],"role":[88],"travel":[91],"agent.":[92],"proposed":[94],"outperformed":[96],"several":[97],"baseline":[98],"techniques":[99],"qualitative":[101],"quantitative":[103],"evaluations.":[104],"It":[105],"responded":[106],"more":[107,121],"accurately":[108],"questions":[111],"participants":[113],"found":[114],"it":[115],"was":[116],"easier":[117],"understand,":[119],"provided":[120],"information,":[122],"required":[124],"less":[125],"effort":[126],"interact":[128],"with.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
