{"id":"https://openalex.org/W3031287269","doi":"https://doi.org/10.1145/3313831.3376489","title":"Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR","display_name":"Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3031287269","doi":"https://doi.org/10.1145/3313831.3376489","mag":"3031287269"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376489","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 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/A5066095562","display_name":"Rorik Henrikson","orcid":"https://orcid.org/0009-0009-0378-7666"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rorik Henrikson","raw_affiliation_strings":["Chatham Labs, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chatham Labs, Toronto, ON, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058485609","display_name":"Tovi Grossman","orcid":"https://orcid.org/0000-0002-0494-5373"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tovi Grossman","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038790030","display_name":"Sean Trowbridge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Trowbridge","raw_affiliation_strings":["Facebook Reality Labs, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Reality Labs, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083735800","display_name":"Daniel Wigdor","orcid":"https://orcid.org/0000-0003-2008-7070"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Wigdor","raw_affiliation_strings":["Chatham Labs & University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chatham Labs & University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005140278","display_name":"Hrvoje Benko","orcid":"https://orcid.org/0000-0002-2059-3558"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hrvoje Benko","raw_affiliation_strings":["Facebook Reality Labs, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Reality Labs, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.679,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89644781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9997000098228455,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9997000098228455,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9986000061035156,"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/T10888","display_name":"Augmented Reality Applications","score":0.9977999925613403,"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/kinematics","display_name":"Kinematics","score":0.8198462724685669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7644751071929932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6220749020576477},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5845495462417603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694617629051208},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5645423531532288},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.530998945236206},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.4844413101673126},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4542537033557892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12012100219726562}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8198462724685669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644751071929932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6220749020576477},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5845495462417603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694617629051208},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5645423531532288},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.530998945236206},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.4844413101673126},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4542537033557892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12012100219726562},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313831.3376489","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 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":54,"referenced_works":["https://openalex.org/W122145281","https://openalex.org/W177616587","https://openalex.org/W1762370550","https://openalex.org/W1969214042","https://openalex.org/W1974223339","https://openalex.org/W1978401434","https://openalex.org/W1980519917","https://openalex.org/W1983239853","https://openalex.org/W1988951530","https://openalex.org/W1995608121","https://openalex.org/W2014215901","https://openalex.org/W2015465704","https://openalex.org/W2025904186","https://openalex.org/W2027164646","https://openalex.org/W2030286026","https://openalex.org/W2038200746","https://openalex.org/W2039988673","https://openalex.org/W2042751882","https://openalex.org/W2048556651","https://openalex.org/W2077000655","https://openalex.org/W2078073494","https://openalex.org/W2079467012","https://openalex.org/W2090029266","https://openalex.org/W2097847611","https://openalex.org/W2107758168","https://openalex.org/W2111661711","https://openalex.org/W2112103637","https://openalex.org/W2112824399","https://openalex.org/W2117043006","https://openalex.org/W2118294504","https://openalex.org/W2122531973","https://openalex.org/W2123522038","https://openalex.org/W2127406376","https://openalex.org/W2133229061","https://openalex.org/W2145087262","https://openalex.org/W2149167609","https://openalex.org/W2158078561","https://openalex.org/W2165500877","https://openalex.org/W2168634469","https://openalex.org/W2172801212","https://openalex.org/W2176017127","https://openalex.org/W2405777275","https://openalex.org/W2535015958","https://openalex.org/W2569346610","https://openalex.org/W2610808162","https://openalex.org/W2738132155","https://openalex.org/W2764065835","https://openalex.org/W2773461391","https://openalex.org/W2796228338","https://openalex.org/W2805715412","https://openalex.org/W2892360234","https://openalex.org/W2897838278","https://openalex.org/W2940993239","https://openalex.org/W4239127880"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W2889348933","https://openalex.org/W2802511870","https://openalex.org/W2372581239"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,26,52,82,97,135,154],"new":[4],"technique":[5,22,95],"to":[6,33,61,134],"predict":[7,62],"the":[8,46,49,63,76,79,108,115,122,125,161,164],"ray":[9,37],"pointer":[10],"landing":[11,66,117],"position":[12,67,118],"for":[13,41,86],"selection":[14],"movements":[15],"in":[16],"virtual":[17],"reality":[18],"(VR)":[19],"environments.":[20],"The":[21],"adapts":[23],"and":[24,54,68,103,127],"extends":[25],"prior":[27],"2D":[28],"kinematic":[29],"template":[30],"matching":[31],"method":[32],"VR":[34],"environments":[35],"where":[36],"pointers":[38],"are":[39],"used":[40,60],"selection.":[42],"It":[43],"builds":[44],"on":[45],"insight":[47],"that":[48,75],"kinematics":[50],"of":[51,78,100,114,121,138,156,160],"controller":[53,145],"Head-Mounted":[55],"Display":[56],"(HMD)":[57],"can":[58],"be":[59],"ray's":[64],"final":[65],"angle.":[69],"An":[70],"initial":[71],"study":[72,92],"provides":[73],"evidence":[74],"motion":[77],"head":[80],"is":[81],"key":[83],"input":[84],"channel":[85],"improving":[87],"prediction":[88,151],"models.":[89],"A":[90],"second":[91],"validates":[93],"this":[94,147],"across":[96],"continuous":[98],"range":[99],"distances,":[101],"angles,":[102],"target":[104],"sizes.":[105],"On":[106],"average,":[107],"technique's":[109],"predictions":[110],"were":[111],"within":[112,128],"7.3\u00b0":[113],"true":[116],"when":[119,130,158],"50%":[120],"way":[123,162],"through":[124,163],"movement":[126],"3.4\u00b0":[129],"90%.":[131],"Furthermore,":[132],"compared":[133],"direct":[136],"extension":[137],"Kinematic":[139],"Template":[140],"Matching,":[141],"which":[142],"only":[143],"uses":[144],"movement,":[146],"head-coupled":[148],"approach":[149],"increases":[150],"accuracy":[152],"by":[153],"factor":[155],"1.8x":[157],"40%":[159],"movement.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}