{"id":"https://openalex.org/W2025090144","doi":"https://doi.org/10.1145/2701973.2702020","title":"Choreographing Robot Behaviors by Means of Japanese Onomatopoeias","display_name":"Choreographing Robot Behaviors by Means of Japanese Onomatopoeias","publication_year":2015,"publication_date":"2015-03-02","ids":{"openalex":"https://openalex.org/W2025090144","doi":"https://doi.org/10.1145/2701973.2702020","mag":"2025090144"},"language":"en","primary_location":{"id":"doi:10.1145/2701973.2702020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701973.2702020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts","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/A5026918459","display_name":"Takanori Komatsu","orcid":"https://orcid.org/0000-0003-1828-2993"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takanori Komatsu","raw_affiliation_strings":["Meiji University, Tokyo, Japan","( Meiji University Tokyo Japan )"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"( Meiji University Tokyo Japan )","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026918459"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":1.1736,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78882272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9628000259399414,"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":0.9628000259399414,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.961899995803833,"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/T12290","display_name":"Human Motion and Animation","score":0.9488999843597412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/onomatopoeia","display_name":"Onomatopoeia","score":0.9707257151603699},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.7852487564086914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811872720718384},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5677700042724609},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.530364990234375},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5233811140060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.384662926197052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3752366304397583},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3103456497192383},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24154704809188843},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.06465873122215271}],"concepts":[{"id":"https://openalex.org/C22432085","wikidata":"https://www.wikidata.org/wiki/Q170239","display_name":"Onomatopoeia","level":2,"score":0.9707257151603699},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.7852487564086914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811872720718384},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5677700042724609},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.530364990234375},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5233811140060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.384662926197052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3752366304397583},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3103456497192383},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24154704809188843},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.06465873122215271},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2701973.2702020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701973.2702020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts","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":4,"referenced_works":["https://openalex.org/W4941964","https://openalex.org/W640922361","https://openalex.org/W2059027798","https://openalex.org/W2511397828"],"related_works":["https://openalex.org/W2315379384","https://openalex.org/W3197205159","https://openalex.org/W2313695185","https://openalex.org/W4280511947","https://openalex.org/W2767010592","https://openalex.org/W2369458119","https://openalex.org/W2327292841","https://openalex.org/W2993672003","https://openalex.org/W2560876968","https://openalex.org/W4372258428"],"abstract_inverted_index":{"Onomatopoeias":[0],"are":[1,26],"used":[2],"when":[3],"one":[4],"cannot":[5],"describe":[6],"certain":[7,75],"phenomena":[8],"or":[9],"events":[10],"literally":[11],"in":[12,28],"the":[13,51,61,65,70,88],"Japanese":[14],"language,":[15],"and":[16,23,47,69,100],"it":[17],"is":[18],"said":[19],"that":[20,35,58,91],"one's":[21],"ambiguous":[22,95],"intuitive":[24],"feelings":[25,96,106],"embedded":[27],"these":[29,104],"onomatopoeias.":[30],"Therefore,":[31],"an":[32],"interface":[33,56],"system":[34],"can":[36,92],"use":[37],"onomatopoeia":[38],"as":[39],"input":[40],"information":[41],"could":[42],"comprehend":[43],"such":[44,55],"users'":[45,94],"feelings,":[46],"I":[48,80],"then":[49],"proposed":[50],"basic":[52],"concept":[53,90],"for":[54],"system;":[57],"is,":[59],"preparing":[60],"mapping":[62],"rules":[63],"between":[64],"quantified":[66],"onomatopoeias":[67,99],"expressions":[68],"physical":[71],"features":[72],"of":[73,103],"a":[74,83,108],"target.":[76],"In":[77],"this":[78],"paper,":[79],"briefly":[81],"introduced":[82],"concrete":[84],"application":[85],"based":[86],"on":[87,107],"above":[89],"extract":[93],"from":[97],"their":[98],"reflect":[101],"any":[102],"extracted":[105],"robot's":[109],"behaviors.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}