{"id":"https://openalex.org/W4307711997","doi":"https://doi.org/10.1142/s1793351x22490022","title":"An Efficient Redirection of Positional Interactions in Mixed/ Augmented Reality","display_name":"An Efficient Redirection of Positional Interactions in Mixed/ Augmented Reality","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4307711997","doi":"https://doi.org/10.1142/s1793351x22490022"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x22490022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x22490022","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5011056149","display_name":"Akshith Ullal","orcid":"https://orcid.org/0000-0003-3923-5491"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshith Ullal","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020324977","display_name":"Alexandra Watkins","orcid":"https://orcid.org/0000-0001-5686-8296"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandra Watkins","raw_affiliation_strings":["Department of Mechanical Engineering, Vanderbilt University Nashville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Vanderbilt University Nashville, Tennessee, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076622286","display_name":"Nilanjan Sarkar","orcid":"https://orcid.org/0000-0002-3969-0593"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nilanjan Sarkar","raw_affiliation_strings":["Department of Mechanical Engineering, Vanderbilt University Nashville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Vanderbilt University Nashville, Tennessee, USA","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":0.4061,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60368454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"17","issue":"01","first_page":"95","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9990000128746033,"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/T10888","display_name":"Augmented Reality Applications","score":0.9990000128746033,"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":0.9980000257492065,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9976999759674072,"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/workspace","display_name":"Workspace","score":0.8501845002174377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.829837441444397},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.6358519792556763},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.6047295331954956},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5878199338912964},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5369963049888611},{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.5196391344070435},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47379252314567566},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.470588356256485},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45604896545410156},{"id":"https://openalex.org/keywords/proxemics","display_name":"Proxemics","score":0.4543856382369995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4392086863517761},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.436257541179657},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41411611437797546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38127920031547546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22699743509292603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08949127793312073}],"concepts":[{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.8501845002174377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829837441444397},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6358519792556763},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.6047295331954956},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5878199338912964},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5369963049888611},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.5196391344070435},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47379252314567566},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.470588356256485},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45604896545410156},{"id":"https://openalex.org/C170334801","wikidata":"https://www.wikidata.org/wiki/Q171755","display_name":"Proxemics","level":2,"score":0.4543856382369995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4392086863517761},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.436257541179657},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41411611437797546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38127920031547546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22699743509292603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08949127793312073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x22490022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x22490022","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W580075149","https://openalex.org/W1499677911","https://openalex.org/W1997188340","https://openalex.org/W2009658355","https://openalex.org/W2012724889","https://openalex.org/W2067484689","https://openalex.org/W2085893184","https://openalex.org/W2103572263","https://openalex.org/W2142203883","https://openalex.org/W2481968293","https://openalex.org/W2735676410","https://openalex.org/W2765141684","https://openalex.org/W2789461899","https://openalex.org/W2792969186","https://openalex.org/W2887769949","https://openalex.org/W2889450890","https://openalex.org/W2914777910","https://openalex.org/W2941915966","https://openalex.org/W2957926190","https://openalex.org/W3091743012","https://openalex.org/W3095661243","https://openalex.org/W3118436759"],"related_works":["https://openalex.org/W2036807459","https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W2016398835","https://openalex.org/W2975200075","https://openalex.org/W3192344083","https://openalex.org/W2109974539","https://openalex.org/W1972291043","https://openalex.org/W4286824553","https://openalex.org/W4307711997"],"abstract_inverted_index":{"With":[0],"the":[1,52,59,75,83,98,102,128,137,143,162,166,169,175,205,215,221,237,281,284,318,323],"rise":[2],"in":[3,21,32,63,67,93,277,296,310],"remote":[4,33,60,78],"work":[5],"culture":[6],"and":[7,45,79,136,180,214,239,257,267,307,329],"increased":[8,40],"computing":[9],"capabilities":[10],"of":[11,30,51,101,241,249,252],"head-mounted":[12],"displays":[13],"(HMDs),":[14],"more":[15],"immersive,":[16],"collaborative":[17],"experiences":[18],"are":[19],"desired":[20],"remote\u2013local":[22],"mixed/augmented":[23],"reality":[24],"(MR/AR).":[25],"Photorealistic":[26],"full-body":[27],"avatar":[28],"representations":[29],"users":[31],"workspace":[34,61],"interactions":[35],"have":[36,39,230],"shown":[37],"to":[38,58,132,141,160,183,198,207,235,280,301,315],"social":[41],"presence,":[42],"nonverbal":[43],"behavior,":[44],"engagement.":[46],"However,":[47,108],"a":[48,95,117,119,184,192,202,209,225,232,274,289,308],"direct":[49],"mapping":[50],"body":[53,103,146],"pose":[54,104,331],"angles":[55],"from":[56,299,313],"local":[57,80],"will,":[62],"most":[64],"cases,":[65],"result":[66],"positional":[68,134],"errors":[69,135],"during":[70,273,322],"human\u2013object":[71],"interaction,":[72],"caused":[73],"by":[74,174],"dissimilarity":[76],"between":[77,168,220],"workspaces.":[81],"Hence,":[82],"interaction":[84,145],"must":[85,171],"be":[86,91,106,125,172,218],"retargeted,":[87],"but":[88],"it":[89],"should":[90,105],"retargeted":[92],"such":[94],"way":[96],"that":[97],"original":[99,144],"intent":[100],"preserved.":[107],"these":[109],"two":[110],"objectives":[111,170,222],"sometimes":[112],"contradict":[113],"each":[114],"other.":[115],"As":[116],"result,":[118],"multi-objective":[120],"optimization":[121],"(MO)":[122],"problem":[123,164],"can":[124],"formulated":[126],"where":[127,165,201],"primary":[129],"objective":[130,139],"is":[131,140],"minimize":[133],"secondary":[138],"preserve":[142],"pose.":[147],"The":[148],"current":[149],"state-of-the-art":[150],"solution":[151],"uses":[152],"an":[153,261],"evolutionary":[154],"computation-based":[155],"inverse":[156],"kinematic":[157],"(IK)":[158],"approach":[159,197,234],"solve":[161],"MO":[163],"weights":[167,216],"set":[173,208],"user":[176,203],"based":[177,223],"on":[178,224,245],"trial":[179],"error,":[181],"leading":[182],"suboptimal":[185],"solution.":[186],"In":[187],"this":[188,199,242],"paper,":[189],"we":[190,259],"present":[191],"new":[193],"dynamic":[194,226,285],"weight":[195],"allocation":[196,227],"problem,":[200],"has":[204],"flexibility":[206],"chosen":[210],"minimum":[211],"error":[212,254,297,311],"tolerance,":[213],"will":[217],"distributed":[219],"algorithm.":[228],"We":[229],"used":[231],"two-pronged":[233],"test":[236],"adaptability":[238],"robustness":[240,328],"mechanism:":[243],"(i)":[244],"motion-captured":[246],"human":[247,265,320],"animations":[248],"varying":[250,304],"levels":[251],"speeds,":[253],"tolerances,":[255],"redirections":[256],"(ii)":[258],"conducted":[260],"experiment":[262],"involving":[263],"12":[264],"participants":[266],"recorded,":[268],"redirected":[269],"their":[270],"actions":[271,321],"performed":[272],"book-shelving":[275],"task":[276],"AR.":[278],"Compared":[279],"static":[282],"weighting,":[283],"weighted":[286],"mechanism":[287],"showed":[288],"net":[290],"([Formula:":[291],"see":[292],"text]":[293],"objective)":[294],"decrease":[295,309],"ranging":[298,312],"20.5%":[300],"34.42%":[302],"across":[303,333],"animation":[305],"speeds":[306],"11.44%":[314],"36.2%":[316],"for":[317],"recorded":[319],"AR":[324],"task,":[325],"demonstrating":[326],"its":[327],"better":[330],"preservation":[332],"interactions.":[334]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}