{"id":"https://openalex.org/W3014256352","doi":"https://doi.org/10.1145/3371382.3378360","title":"Generating Robotic Emotional Body Language of Targeted Valence and Arousal with Conditional Variational Autoencoders","display_name":"Generating Robotic Emotional Body Language of Targeted Valence and Arousal with Conditional Variational Autoencoders","publication_year":2020,"publication_date":"2020-03-23","ids":{"openalex":"https://openalex.org/W3014256352","doi":"https://doi.org/10.1145/3371382.3378360","mag":"3014256352"},"language":"en","primary_location":{"id":"doi:10.1145/3371382.3378360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371382.3378360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2020 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/A5031323976","display_name":"Mina Marmpena","orcid":null},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mina Marmpena","raw_affiliation_strings":["University of Plymouth, Plymouth, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Plymouth, Plymouth, United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111574145","display_name":"Fernando Garc\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I131328143","display_name":"Union Bank of Switzerland","ror":"https://ror.org/01ekk8h85","country_code":"CH","type":"funder","lineage":["https://openalex.org/I131328143"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fernando Garcia","raw_affiliation_strings":["ANYbotics AG, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ANYbotics AG, Zurich, Switzerland","institution_ids":["https://openalex.org/I131328143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054803584","display_name":"Angelica Lim","orcid":"https://orcid.org/0000-0001-9288-0380"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Angelica Lim","raw_affiliation_strings":["Simon Fraser University, Burnaby, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031323976"],"corresponding_institution_ids":["https://openalex.org/I897542642"],"apc_list":null,"apc_paid":null,"fwci":1.0775,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78890833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.998199999332428,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973000288009644,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8617486357688904},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7194244265556335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479851007461548},{"id":"https://openalex.org/keywords/body-language","display_name":"Body language","score":0.6347808241844177},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.63163822889328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979417562484741},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5852761268615723},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.5367786288261414},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.462015300989151},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44672948122024536},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.43716660141944885},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.43425673246383667},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41337308287620544},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3593698740005493},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3491441011428833},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3231101632118225},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.15642541646957397},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08984693884849548}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8617486357688904},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7194244265556335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479851007461548},{"id":"https://openalex.org/C20253421","wikidata":"https://www.wikidata.org/wiki/Q477298","display_name":"Body language","level":2,"score":0.6347808241844177},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.63163822889328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979417562484741},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5852761268615723},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.5367786288261414},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.462015300989151},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44672948122024536},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.43716660141944885},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.43425673246383667},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41337308287620544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3593698740005493},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3491441011428833},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3231101632118225},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.15642541646957397},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08984693884849548},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371382.3378360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371382.3378360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1587026990","https://openalex.org/W1810028515","https://openalex.org/W1900701192","https://openalex.org/W2024221294","https://openalex.org/W2092804630","https://openalex.org/W2188365844","https://openalex.org/W2582743722","https://openalex.org/W2884525712","https://openalex.org/W2922298118","https://openalex.org/W2928416850","https://openalex.org/W2967443589","https://openalex.org/W2996457820","https://openalex.org/W3003307838","https://openalex.org/W3099073275","https://openalex.org/W3121772659","https://openalex.org/W4212774754","https://openalex.org/W4237530378","https://openalex.org/W4288317890","https://openalex.org/W4399584589"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Non-verbal":[0],"communication":[1],"that":[2,47],"encompasses":[3],"emotional":[4,49],"body":[5,50],"language":[6,51],"is":[7],"a":[8,42,59,65],"crucial":[9],"aspect":[10],"of":[11,21,24,53,72],"social":[12],"robotics":[13],"applications.":[14],"Deep":[15],"learning":[16],"models":[17],"for":[18,58],"the":[19,34,70,73],"generation":[20],"robotic":[22],"expressions":[23],"bodily":[25],"affect":[26],"gain":[27],"more":[28,30],"and":[29,56,62],"ground":[31],"recently":[32],"over":[33],"hand-coded":[35],"methods.":[36],"In":[37],"this":[38],"work,":[39],"we":[40,63],"present":[41],"Conditional":[43],"Variational":[44],"Autoencoder":[45],"network":[46],"generates":[48],"animations":[52],"targeted":[54],"valence":[55],"arousal":[57],"Pepper":[60],"robot,":[61],"conduct":[64],"user":[66],"study":[67],"to":[68],"evaluate":[69],"interpretability":[71],"generated":[74],"animations.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
