{"id":"https://openalex.org/W4307475859","doi":"https://doi.org/10.1145/3526113.3545701","title":"RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Freehand Pointing in Virtual Reality","display_name":"RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Freehand Pointing in Virtual Reality","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4307475859","doi":"https://doi.org/10.1145/3526113.3545701"},"language":"en","primary_location":{"id":"doi:10.1145/3526113.3545701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3526113.3545701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology","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/A5100458330","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0002-8067-9994"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042500556","display_name":"Zhenhong Hu","orcid":"https://orcid.org/0000-0001-5105-5376"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhong Hu","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066117171","display_name":"Aakar Gupta","orcid":"https://orcid.org/0000-0001-6435-3583"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aakar Gupta","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002288441","display_name":"Chi-Hao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chi-Hao Wu","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005140278","display_name":"Hrvoje Benko","orcid":"https://orcid.org/0000-0002-2059-3558"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hrvoje Benko","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084702098","display_name":"Tanya R. Jonker","orcid":"https://orcid.org/0000-0001-8646-5076"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanya R. Jonker","raw_affiliation_strings":["Reality Labs Research, Meta Inc., United States"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta Inc., United States","institution_ids":["https://openalex.org/I4210128585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100458330"],"corresponding_institution_ids":["https://openalex.org/I4210128585"],"apc_list":null,"apc_paid":null,"fwci":1.0428,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74480053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9965999722480774,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.8441764116287231},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7151545882225037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765267848968506},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.573624312877655},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5696024894714355},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5605548024177551},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5058093070983887},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4926205277442932},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4816500246524811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4532623291015625},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45059096813201904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4094296991825104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07970663905143738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8441764116287231},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7151545882225037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765267848968506},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.573624312877655},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5696024894714355},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5605548024177551},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5058093070983887},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4926205277442932},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4816500246524811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4532623291015625},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45059096813201904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4094296991825104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07970663905143738},{"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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3526113.3545701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3526113.3545701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology","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":60,"referenced_works":["https://openalex.org/W122145281","https://openalex.org/W1496918241","https://openalex.org/W1581800915","https://openalex.org/W1592960782","https://openalex.org/W1885639605","https://openalex.org/W1976526581","https://openalex.org/W2008834805","https://openalex.org/W2009927480","https://openalex.org/W2014215901","https://openalex.org/W2030286026","https://openalex.org/W2048556651","https://openalex.org/W2061220882","https://openalex.org/W2078073494","https://openalex.org/W2097847611","https://openalex.org/W2122531973","https://openalex.org/W2143355978","https://openalex.org/W2145087262","https://openalex.org/W2162454958","https://openalex.org/W2209204668","https://openalex.org/W2312708194","https://openalex.org/W2402069821","https://openalex.org/W2512727595","https://openalex.org/W2561515991","https://openalex.org/W2569346610","https://openalex.org/W2594388303","https://openalex.org/W2603019185","https://openalex.org/W2610808162","https://openalex.org/W2616605651","https://openalex.org/W2763035995","https://openalex.org/W2892035503","https://openalex.org/W2906219823","https://openalex.org/W2910020948","https://openalex.org/W2910814616","https://openalex.org/W2924388397","https://openalex.org/W2927638312","https://openalex.org/W2954838084","https://openalex.org/W2966153025","https://openalex.org/W2971402829","https://openalex.org/W2985228903","https://openalex.org/W2998056598","https://openalex.org/W3000387804","https://openalex.org/W3029388611","https://openalex.org/W3030360270","https://openalex.org/W3031287269","https://openalex.org/W3043084043","https://openalex.org/W3080078178","https://openalex.org/W3093567147","https://openalex.org/W3094630307","https://openalex.org/W3138572511","https://openalex.org/W3160155271","https://openalex.org/W3162398451","https://openalex.org/W3163626635","https://openalex.org/W3164089640","https://openalex.org/W3204160532","https://openalex.org/W3205862750","https://openalex.org/W3206939027","https://openalex.org/W3217490442","https://openalex.org/W4206714092","https://openalex.org/W4229726131","https://openalex.org/W4307475498"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Freehand":[0],"interactions":[1],"with":[2,113],"augmented":[3],"and":[4,15,60,109,128,147],"virtual":[5],"reality":[6],"are":[7],"growing":[8],"in":[9,52,97,207],"popularity,":[10],"but":[11],"they":[12],"lack":[13],"reliability":[14,34],"robustness.":[16],"Implicit":[17],"behavior":[18],"from":[19,106],"users,":[20],"such":[21],"as":[22],"hand":[23,69,125,139],"or":[24],"gaze":[25],"movements,":[26],"might":[27],"provide":[28],"additional":[29],"signals":[30],"to":[31,44,88,169,203],"improve":[32,45,170],"the":[33,40,46,62,68,94,157,171,188,191,208],"of":[35,48,64,145,173,187,190],"input.":[36],"In":[37],"this":[38,198],"paper,":[39],"primary":[41],"goal":[42],"is":[43,86],"detection":[47],"a":[49,74,84,90,103,117,129,174],"selection":[50,75,91,176],"gesture":[51,92,177],"VR":[53],"during":[54,102],"point-and-click":[55],"interaction.":[56],"Thus,":[57],"we":[58],"propose":[59],"investigate":[61],"use":[63],"information":[65],"contained":[66],"within":[67],"motion":[70,126,140],"dynamics":[71],"that":[72,81,156,197],"precede":[73],"gesture.":[76],"We":[77,99],"built":[78],"two":[79,111],"models":[80,112,158,192],"classified":[82],"if":[83],"user":[85],"likely":[87],"perform":[89],"at":[93],"current":[95],"moment":[96],"time.":[98],"collected":[100],"data":[101],"pointing-and-selection":[104],"task":[105],"15":[107],"participants":[108],"trained":[110,122,136],"different":[114],"architectures,":[115],"i.e.,":[116],"logistic":[118],"regression":[119],"classifier":[120,134],"was":[121,135,167],"using":[123,137],"predefined":[124],"features":[127],"temporal":[130],"convolutional":[131],"network":[132],"(TCN)":[133],"raw":[138],"data.":[141],"Leave-one-subject-out":[142],"cross-validation":[143],"PR-AUCs":[144],"0.36":[146],"0.90":[148],"were":[149],"obtained":[150],"for":[151],"each":[152],"model":[153,166],"respectively,":[154],"demonstrating":[155],"performed":[159],"well":[160],"above":[161],"chance":[162],"(=0.13).":[163],"The":[164],"TCN":[165],"found":[168],"precision":[172],"noisy":[175],"by":[178],"11.2%":[179],"without":[180],"sacrificing":[181],"recall":[182],"performance.":[183],"An":[184],"initial":[185],"analysis":[186],"generalizability":[189],"demonstrated":[193],"above-chance":[194],"performance,":[195],"suggesting":[196],"approach":[199],"could":[200],"be":[201],"scaled":[202],"other":[204],"interaction":[205],"tasks":[206],"future.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}