{"id":"https://openalex.org/W1983539893","doi":"https://doi.org/10.1109/roman.2007.4415125","title":"Action Sloping as a Way for Users to Notice a Robot's Function","display_name":"Action Sloping as a Way for Users to Notice a Robot's Function","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1983539893","doi":"https://doi.org/10.1109/roman.2007.4415125","mag":"1983539893"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2007.4415125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2007.4415125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication","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/A5109367467","display_name":"Kazuki Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Kobayashi","raw_affiliation_strings":["Research Center for Human Media, Kwansei Gakuin University, Hyogo, Japan","Kwansei Gakuin University, Hyogo"],"affiliations":[{"raw_affiliation_string":"Research Center for Human Media, Kwansei Gakuin University, Hyogo, Japan","institution_ids":["https://openalex.org/I206011266"]},{"raw_affiliation_string":"Kwansei Gakuin University, Hyogo","institution_ids":["https://openalex.org/I206011266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113464400","display_name":"Yasuhiko Kitamura","orcid":null},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiko Kitamura","raw_affiliation_strings":["School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan","Member, IEEE, School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan, ykitamura@ksc.kwansei.ac.jp"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan","institution_ids":["https://openalex.org/I206011266"]},{"raw_affiliation_string":"Member, IEEE, School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan, ykitamura@ksc.kwansei.ac.jp","institution_ids":["https://openalex.org/I206011266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081164257","display_name":"Seiji Yamada","orcid":"https://orcid.org/0000-0002-5258-4488"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiji Yamada","raw_affiliation_strings":["National Institute of Information, Tokyo, Japan","Member, IEEE, National Institute of Informatics, Tokyo, Japan, seiji@nii.ac.jp"],"affiliations":[{"raw_affiliation_string":"National Institute of Information, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Member, IEEE, National Institute of Informatics, Tokyo, Japan, seiji@nii.ac.jp","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109367467"],"corresponding_institution_ids":["https://openalex.org/I206011266"],"apc_list":null,"apc_paid":null,"fwci":0.9738,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76690111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9995999932289124,"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/T10653","display_name":"Robot Manipulation and Learning","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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.8135414123535156},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.798115611076355},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.7773617506027222},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.7109227776527405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585725545883179},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5297399759292603},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.463432639837265},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4178204834461212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007720351219177}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8135414123535156},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.798115611076355},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.7773617506027222},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.7109227776527405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585725545883179},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5297399759292603},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.463432639837265},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4178204834461212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007720351219177},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2007.4415125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2007.4415125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W203970400","https://openalex.org/W1841352775","https://openalex.org/W1933657216","https://openalex.org/W1969732464","https://openalex.org/W2004603793","https://openalex.org/W2026645894","https://openalex.org/W2166515553","https://openalex.org/W2395822350","https://openalex.org/W6605577446","https://openalex.org/W6608286549"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W4400794747","https://openalex.org/W4250645680","https://openalex.org/W4300782058","https://openalex.org/W2086339586","https://openalex.org/W2394387726","https://openalex.org/W2378724474"],"abstract_inverted_index":{"This":[0,162],"paper":[1],"focuses":[2],"on":[3],"the":[4,10,60,67,74,77,94,116,122,131,136,144,148,151,159,166],"problem":[5],"that":[6,91,165],"will":[7,17,38,92],"arise":[8],"in":[9],"near":[11],"future":[12],"from":[13],"multi-function":[14],"robots.":[15],"Users":[16],"have":[18],"to":[19,24,52,81,87,108,125,133],"read":[20],"thick":[21],"operation":[22],"manuals":[23],"use":[25,30],"them.":[26],"If":[27],"users":[28,51],"can":[29],"these":[31],"robots":[32,61],"without":[33],"reading":[34],"difficult":[35],"manuals,":[36],"it":[37,84],"improve":[39],"user":[40,68],"efficiency.":[41],"We":[42],"then":[43],"proposed":[44],"action":[45,90,138,156,169],"sloping":[46,157,170],"as":[47,115],"a":[48,55,127],"way":[49],"for":[50],"naturally":[53],"recognize":[54],"robot's":[56,95,128],"function.":[57,96],"It":[58],"provides":[59],"with":[62],"gradual":[63],"feedback":[64,78,105,153],"signals":[65],"when":[66],"performs":[69],"given":[70],"actions.":[71],"By":[72],"changing":[73],"intensity":[75],"of":[76,104,121,143,168],"signal":[79],"according":[80,107],"his/her":[82],"action,":[83],"encourages":[85],"him/her":[86],"perform":[88],"an":[89],"trigger":[93],"In":[97],"our":[98],"experiments,":[99],"we":[100],"made":[101],"three":[102],"kinds":[103],"behaviors":[106],"Action":[109],"Sloping":[110],"and":[111,130,158],"one":[112],"non-feedback":[113],"behavior":[114],"control":[117,160],"condition.":[118],"The":[119],"participants":[120],"experiment":[123],"tried":[124],"find":[126],"function":[129],"latencies":[132,145],"first":[134],"finding":[135],"triggered":[137],"were":[139],"measured.":[140],"An":[141],"analysis":[142],"show":[146],"ed":[147],"difference":[149],"between":[150],"sound":[152],"group":[154],"by":[155],"group.":[161],"result":[163],"showed":[164],"effectiveness":[167],"was":[171],"partially":[172],"supported.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
