{"id":"https://openalex.org/W3031635763","doi":"https://doi.org/10.1145/3334480.3375222","title":"Quantifying Sign Avatar Perception: How Imperfect is Insufficient?","display_name":"Quantifying Sign Avatar Perception: How Imperfect is Insufficient?","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3031635763","doi":"https://doi.org/10.1145/3334480.3375222","mag":"3031635763"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3375222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3375222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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/A5002842562","display_name":"Heike Brock","orcid":"https://orcid.org/0000-0002-9530-4714"},"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":true,"raw_author_name":"Heike Brock","raw_affiliation_strings":["Honda Research Institute Japan Co., Ltd., Wako-shi, Japan"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Co., Ltd., Wako-shi, Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069919866","display_name":"Shigeaki Nishina","orcid":"https://orcid.org/0000-0002-3519-367X"},"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":"Shigeaki Nishina","raw_affiliation_strings":["Honda Research Institute Japan Co., Ltd., Wako, Japan"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Co., Ltd., Wako, Japan","institution_ids":["https://openalex.org/I1283473643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002842562"],"corresponding_institution_ids":["https://openalex.org/I1283473643"],"apc_list":null,"apc_paid":null,"fwci":0.1474,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45290372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.996999979019165,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.9605327844619751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7500495910644531},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6869226098060608},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.6636056900024414},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5826183557510376},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.523051381111145},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.49112173914909363},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.435703843832016},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41464653611183167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3737369775772095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32297229766845703},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.14315563440322876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09197035431861877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09021422266960144},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08503392338752747}],"concepts":[{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.9605327844619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500495910644531},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6869226098060608},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6636056900024414},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5826183557510376},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.523051381111145},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.49112173914909363},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.435703843832016},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41464653611183167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3737369775772095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32297229766845703},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.14315563440322876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09197035431861877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09021422266960144},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08503392338752747},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1145/3334480.3375222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3375222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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":11,"referenced_works":["https://openalex.org/W1968208109","https://openalex.org/W2017050967","https://openalex.org/W2042229579","https://openalex.org/W2213130130","https://openalex.org/W2398936787","https://openalex.org/W2484649258","https://openalex.org/W2508811887","https://openalex.org/W2604692796","https://openalex.org/W2774638959","https://openalex.org/W2896317372","https://openalex.org/W2912011982"],"related_works":["https://openalex.org/W4224273434","https://openalex.org/W3169129874","https://openalex.org/W2018882065","https://openalex.org/W4210514273","https://openalex.org/W170056888","https://openalex.org/W2553497099","https://openalex.org/W3025268060","https://openalex.org/W2379697716","https://openalex.org/W1827696521","https://openalex.org/W4285097057"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,10,37,70,86,108,117,120],"this":[3],"study":[4,150],"was":[5],"to":[6,15,22,97,134],"identify":[7],"relevant":[8],"aspects":[9],"sign":[11],"avatar":[12,38,109,122,137],"animation":[13],"and":[14,48,93,111],"quantify":[16],"their":[17,95],"effect":[18],"on":[19,143],"human":[20],"perception,":[21],"better":[23],"address":[24],"user":[25,68,100,145],"expectation":[26],"in":[27,56,78,123,147],"the":[28,57,71,98,115,124,144,148],"future.":[29,125],"For":[30],"this,":[31],"25":[32],"users":[33],"assessed":[34],"two":[35],"types":[36,92],"animations,":[39],"one":[40],"upper":[41],"baseline":[42],"generated":[43,60],"utilizing":[44,61],"motion":[45],"capture":[46],"data,":[47],"a":[49,75,84,140],"reference":[50],"with":[51,139],"absolute":[52],"total":[53],"positional":[54],"differences":[55,88],"mm":[58],"range":[59],"machine":[62],"learned":[63],"synthetic":[64],"data.":[65],"As":[66],"expected,":[67],"evaluation":[69],"synthesized":[72],"references":[73],"showed":[74],"considerable":[76],"loss":[77],"rating":[79],"scores.":[80],"We":[81],"therefore":[82],"computed":[83],"variety":[85],"signal-specific":[87],"between":[89],"both":[90],"data":[91],"investigated":[94],"correlations":[96],"collected":[99],"ratings.":[101],"Results":[102],"reveal":[103],"general":[104],"statistically":[105],"significant":[106],"inter-dependencies":[107],"movement":[110],"perception":[112,146],"helpful":[113],"for":[114],"generation":[116],"any":[118],"type":[119],"virtual":[121],"However,":[126],"results":[127],"also":[128],"suggest":[129],"that":[130],"it":[131],"is":[132],"difficult":[133],"determine":[135],"concrete":[136],"features":[138],"high":[141],"influence":[142],"current":[149],"design.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
