{"id":"https://openalex.org/W4405812727","doi":"https://doi.org/10.1145/3652988.3673931","title":"Modifying Gesture Style with Impression Words","display_name":"Modifying Gesture Style with Impression Words","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4405812727","doi":"https://doi.org/10.1145/3652988.3673931"},"language":"en","primary_location":{"id":"doi:10.1145/3652988.3673931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652988.3673931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Intelligent Virtual Agents","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112412337","display_name":"Jie Zeng","orcid":"https://orcid.org/0009-0000-5303-3461"},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jie Zeng","raw_affiliation_strings":["Seikei University, Japan"],"raw_orcid":"https://orcid.org/0009-0000-5303-3461","affiliations":[{"raw_affiliation_string":"Seikei University, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103635921","display_name":"Yoshiki Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Takahashi","raw_affiliation_strings":["Seikei University, Japan"],"raw_orcid":"https://orcid.org/0009-0008-8343-1282","affiliations":[{"raw_affiliation_string":"Seikei University, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038153180","display_name":"Yukiko Nakano","orcid":"https://orcid.org/0000-0003-1658-8219"},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiko I. Nakano","raw_affiliation_strings":["Dept. of Science and Technology, Seikei University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1658-8219","affiliations":[{"raw_affiliation_string":"Dept. of Science and Technology, Seikei University, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053688878","display_name":"Tatsuya Sakato","orcid":null},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Sakato","raw_affiliation_strings":["Seikei University, Japan"],"raw_orcid":"https://orcid.org/0009-0007-2139-2946","affiliations":[{"raw_affiliation_string":"Seikei University, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081734793","display_name":"Hannes H\u00f6gni Vilhj\u00e1lmsson","orcid":"https://orcid.org/0000-0002-7366-6933"},"institutions":[{"id":"https://openalex.org/I123185442","display_name":"Reykjav\u00edk University","ror":"https://ror.org/05d2kyx68","country_code":"IS","type":"education","lineage":["https://openalex.org/I123185442"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Hannes H\u00f6gni Vilhj\u00e1lmsson","raw_affiliation_strings":["Department of Computer Scienc, Reykjavik University, Iceland"],"raw_orcid":"https://orcid.org/0000-0002-7366-6933","affiliations":[{"raw_affiliation_string":"Department of Computer Scienc, Reykjavik University, Iceland","institution_ids":["https://openalex.org/I123185442"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.8298763036727905},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8248045444488525},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.7175443172454834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6478582620620728},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3796669840812683},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36823177337646484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3643597960472107},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1418098509311676},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.1115056574344635},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.05278143286705017}],"concepts":[{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.8298763036727905},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8248045444488525},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.7175443172454834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478582620620728},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3796669840812683},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36823177337646484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3643597960472107},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1418098509311676},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.1115056574344635},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.05278143286705017}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652988.3673931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652988.3673931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Intelligent Virtual Agents","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W114912394","https://openalex.org/W1844298566","https://openalex.org/W2035046981","https://openalex.org/W2052890918","https://openalex.org/W2071478251","https://openalex.org/W2151539117","https://openalex.org/W2152982945","https://openalex.org/W2265484737","https://openalex.org/W2313339984","https://openalex.org/W2320458722","https://openalex.org/W2469134594","https://openalex.org/W2475287302","https://openalex.org/W2559085405","https://openalex.org/W2727071501","https://openalex.org/W2737477199","https://openalex.org/W2901872500","https://openalex.org/W2902579619","https://openalex.org/W2962795401","https://openalex.org/W2962896489","https://openalex.org/W2963800363","https://openalex.org/W2963920537","https://openalex.org/W2989855043","https://openalex.org/W2997418011","https://openalex.org/W3002310794","https://openalex.org/W3024902055","https://openalex.org/W3083173864","https://openalex.org/W3107440996","https://openalex.org/W3125775899","https://openalex.org/W3125867959","https://openalex.org/W3204107037","https://openalex.org/W4312462635","https://openalex.org/W4313036342"],"related_works":["https://openalex.org/W2327021330","https://openalex.org/W2316594088","https://openalex.org/W2397440126","https://openalex.org/W2409084359","https://openalex.org/W68571419","https://openalex.org/W4392328073","https://openalex.org/W2317327847","https://openalex.org/W2989908193","https://openalex.org/W2052573402","https://openalex.org/W2083361043"],"abstract_inverted_index":{"When":[0],"people":[1],"form":[2],"impressions":[3],"of":[4,14,44,47,70,95,134,152],"others":[5],"in":[6],"face-to-face":[7],"communication,":[8],"gesture":[9,32,78,145],"style":[10,38,68,72,79,90,96,122,159],"(i.e.":[11],"the":[12,31,67,144,150,158],"way":[13],"gesturing)":[15],"impacts":[16],"their":[17],"impressions,":[18],"such":[19],"as":[20,137],"being":[21],"well-mannered,":[22],"honest,":[23],"and":[24,63,75,154],"enthusiastic.":[25],"As":[26],"a":[27,36,42,52,77,92,105,115,125,132],"mechanism":[28,161],"for":[29,117],"changing":[30],"style,":[33],"we":[34,50,113],"trained":[35],"GAN-based":[37],"transfer":[39,73,146],"model":[40,74,147],"using":[41],"collection":[43],"video":[45],"clips":[46],"speakers.":[48],"Then,":[49],"collected":[51],"new":[53],"speaker":[54],"dataset":[55],"from":[56,91],"YouTube":[57],"videos":[58],"representing":[59],"three":[60],"different":[61],"countries,":[62],"applied":[64,171],"them":[65],"to":[66,86,98,168,176],"encoder":[69],"our":[71],"created":[76],"latent":[80],"space.":[81],"However,":[82],"it":[83],"is":[84],"difficult":[85],"select":[87],"an":[88,120],"appropriate":[89,121],"large":[93],"number":[94],"candidates":[97],"synthesize":[99],"motions":[100,163],"that":[101,130,143,164,170],"would":[102],"give":[103],"off":[104],"specific":[106],"impression.":[107],"To":[108],"assist":[109],"users":[110],"with":[111],"this,":[112],"propose":[114],"method":[116],"automatically":[118],"selecting":[119],"by":[123,157],"fine-tuning":[124],"Large":[126],"Language":[127],"Model":[128],"(LLM)":[129],"uses":[131],"list":[133],"impression":[135,151,167],"words":[136],"input.":[138],"An":[139],"evaluation":[140],"study":[141],"found":[142],"effectively":[148],"changes":[149],"gesture,":[153],"styles":[155],"selected":[156,178],"selection":[160],"produced":[162],"express":[165],"similar":[166],"those":[169],"ground":[172],"truth":[173],"styles,":[174],"compared":[175],"randomly":[177],"styles.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
