{"id":"https://openalex.org/W4298128021","doi":"https://doi.org/10.1109/ro-man53752.2022.9900540","title":"Shaping Haru\u2019s Affective Behavior with Valence and Arousal Based Implicit Facial Feedback","display_name":"Shaping Haru\u2019s Affective Behavior with Valence and Arousal Based Implicit Facial Feedback","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4298128021","doi":"https://doi.org/10.1109/ro-man53752.2022.9900540"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man53752.2022.9900540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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/A5111237438","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-1581-6200"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611881","display_name":"Guodong Chen","orcid":"https://orcid.org/0000-0002-5704-638X"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Chen","raw_affiliation_strings":["ShanDong JiaoTong University"],"affiliations":[{"raw_affiliation_string":"ShanDong JiaoTong University","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052470310","display_name":"Randy G\u00f3mez","orcid":"https://orcid.org/0000-0002-3191-6818"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Randy Gomez","raw_affiliation_strings":["Honda Research Institute Japan Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Co., Ltd","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049329632","display_name":"Keisuke Nakamura","orcid":"https://orcid.org/0000-0002-4979-2083"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Nakamura","raw_affiliation_strings":["Honda Research Institute Japan Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Co., Ltd","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113949081","display_name":"Bo He","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo He","raw_affiliation_strings":["Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101812014","display_name":"Guangliang Li","orcid":"https://orcid.org/0000-0003-1728-5711"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangliang Li","raw_affiliation_strings":["Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111237438"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.2772,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47727273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"769","last_page":"776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9858999848365784,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.7346461415290833},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7195982336997986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6455671787261963},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6221663355827332},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5541936159133911},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5175204277038574},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5010077953338623},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.49517789483070374},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4313563406467438},{"id":"https://openalex.org/keywords/emotional-valence","display_name":"Emotional valence","score":0.41829168796539307},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.37880170345306396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3760263919830322},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3169440031051636},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.18501368165016174},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.1290464997291565}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7346461415290833},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7195982336997986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455671787261963},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6221663355827332},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5541936159133911},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5175204277038574},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5010077953338623},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.49517789483070374},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4313563406467438},{"id":"https://openalex.org/C3020774634","wikidata":"https://www.wikidata.org/wiki/Q3113318","display_name":"Emotional valence","level":3,"score":0.41829168796539307},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37880170345306396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3760263919830322},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3169440031051636},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.18501368165016174},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.1290464997291565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man53752.2022.9900540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"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":30,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W114159433","https://openalex.org/W121023703","https://openalex.org/W1501005121","https://openalex.org/W1539975474","https://openalex.org/W1589747210","https://openalex.org/W2077132576","https://openalex.org/W2132504164","https://openalex.org/W2137375617","https://openalex.org/W2149628368","https://openalex.org/W2156869222","https://openalex.org/W2157726050","https://openalex.org/W2547683630","https://openalex.org/W2584561145","https://openalex.org/W2944766483","https://openalex.org/W2963489214","https://openalex.org/W3005891386","https://openalex.org/W3039772337","https://openalex.org/W3091272913","https://openalex.org/W3093713113","https://openalex.org/W3128013500","https://openalex.org/W3135194167","https://openalex.org/W3170693272","https://openalex.org/W3193356866","https://openalex.org/W3205371299","https://openalex.org/W4301142652","https://openalex.org/W6604963999","https://openalex.org/W6680322746","https://openalex.org/W6784131548","https://openalex.org/W6796250989"],"related_works":["https://openalex.org/W2026281216","https://openalex.org/W3174118077","https://openalex.org/W4244291577","https://openalex.org/W2097564131","https://openalex.org/W1974364728","https://openalex.org/W1974991603","https://openalex.org/W2759109302","https://openalex.org/W1983581517","https://openalex.org/W4298128021","https://openalex.org/W4280538848"],"abstract_inverted_index":{"Social":[0],"robots":[1],"that":[2,136],"are":[3],"able":[4],"to":[5,33,46,123,147,158],"express":[6],"emotions":[7],"can":[8,17,88,142],"potentially":[9],"improve":[10],"human\u2019s":[11],"well-being.":[12],"Whether":[13],"and":[14,23,36,76,166],"how":[15],"they":[16],"learn":[18],"from":[19,149],"interactions":[20,126],"between":[21],"them":[22],"human":[24,100,128,156],"being":[25],"in":[26,103,129,164,168],"a":[27,90,144],"natural":[28],"way":[29],"will":[30],"be":[31],"key":[32],"their":[34],"success":[35],"acceptance":[37],"by":[38],"ordinary":[39],"people.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"proposed":[45,139],"shape":[47],"social":[48],"robot":[49,106,117],"Haru":[50,141],"affective":[51],"behaviors":[52],"with":[53,73,127,137,161],"predicted":[54],"continuous":[55],"rewards":[56],"based":[57],"on":[58,114],"received":[59,79],"implicit":[60,68,80],"facial":[61,69,81],"feedback":[62,70,82],"via":[63],"human-centered":[64],"reinforcement":[65],"learning.":[66,108],"The":[67,109],"was":[71],"estimated":[72],"the":[74,95,115,153],"valence":[75],"arousal":[77],"of":[78,94,99],"using":[83],"Russell\u2019s":[84],"circumplex":[85],"model,":[86],"which":[87,119],"provide":[89],"more":[91,104],"accurate":[92],"estimation":[93],"subtle":[96],"psychological":[97],"changes":[98],"user,":[101],"resulting":[102,167],"effective":[105],"behavior":[107],"whole":[110],"experiment":[111],"is":[112,120],"conducted":[113],"desktop":[116],"Haru,":[118],"primarily":[121],"used":[122],"study":[124],"emotional":[125],"different":[130],"scenarios.":[131],"Our":[132],"experimental":[133],"results":[134],"show":[135],"our":[138],"method,":[140],"obtain":[143],"similar":[145],"performance":[146],"learning":[148,171],"explicit":[150],"feedback,":[151],"eliminating":[152],"need":[154],"for":[155],"users":[157],"get":[159],"familiar":[160],"training":[162],"interface":[163],"advance":[165],"an":[169],"unobtrusive":[170],"process.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-01T00:03:43.161839","created_date":"2025-10-10T00:00:00"}
