{"id":"https://openalex.org/W4416183433","doi":"https://doi.org/10.1109/ismar67309.2025.00115","title":"VRTennis: Forehand Training in Virtual Reality with Rule-Based Motion Analysis and Multimodal Feedback","display_name":"VRTennis: Forehand Training in Virtual Reality with Rule-Based Motion Analysis and Multimodal Feedback","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4416183433","doi":"https://doi.org/10.1109/ismar67309.2025.00115"},"language":null,"primary_location":{"id":"doi:10.1109/ismar67309.2025.00115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar67309.2025.00115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","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/A5063616012","display_name":"Anna Sebernegg","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Anna Sebernegg","raw_affiliation_strings":["Institute of Visual Computing and Human-Centered Technology, TU Wien,Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Visual Computing and Human-Centered Technology, TU Wien,Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029622176","display_name":"Peter K\u00e1n","orcid":"https://orcid.org/0000-0001-7437-9955"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter K\u00e1n","raw_affiliation_strings":["Institute of Visual Computing and Human-Centered Technology, TU Wien,Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Visual Computing and Human-Centered Technology, TU Wien,Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063616012"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38674268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1085","last_page":"1095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10813","display_name":"Sport Psychology and Performance","score":0.28870001435279846,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10813","display_name":"Sport Psychology and Performance","score":0.28870001435279846,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.23559999465942383,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10157","display_name":"Sports Performance and Training","score":0.2101999968290329,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.7473000288009644},{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.6973999738693237},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.673799991607666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6136999726295471},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5903000235557556},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.5594000220298767},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.49540001153945923},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.39649999141693115}],"concepts":[{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.7473000288009644},{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.6973999738693237},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.673799991607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666100025177002},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6136999726295471},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.49540001153945923},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.39649999141693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3903999924659729},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C2781350754","wikidata":"https://www.wikidata.org/wiki/Q1068473","display_name":"Virtual training","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C107690735","wikidata":"https://www.wikidata.org/wiki/Q852461","display_name":"Motor learning","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2728999853134155},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C59050026","wikidata":"https://www.wikidata.org/wiki/Q5048330","display_name":"Case analysis","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismar67309.2025.00115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar67309.2025.00115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","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":38,"referenced_works":["https://openalex.org/W1878335570","https://openalex.org/W1921329317","https://openalex.org/W1989808394","https://openalex.org/W2023454025","https://openalex.org/W2043723285","https://openalex.org/W2058543238","https://openalex.org/W2132191965","https://openalex.org/W2150334199","https://openalex.org/W2676319738","https://openalex.org/W2760926342","https://openalex.org/W2782892168","https://openalex.org/W2889200851","https://openalex.org/W2895994219","https://openalex.org/W2902587239","https://openalex.org/W2907082617","https://openalex.org/W2943835771","https://openalex.org/W2997335391","https://openalex.org/W2999311192","https://openalex.org/W3009800047","https://openalex.org/W3035065464","https://openalex.org/W3087281713","https://openalex.org/W3095781481","https://openalex.org/W3111548287","https://openalex.org/W3136385120","https://openalex.org/W3211575995","https://openalex.org/W3215248460","https://openalex.org/W4221086922","https://openalex.org/W4246772553","https://openalex.org/W4256457129","https://openalex.org/W4291910399","https://openalex.org/W4313022487","https://openalex.org/W4313892514","https://openalex.org/W4376488860","https://openalex.org/W4376626277","https://openalex.org/W4389306409","https://openalex.org/W4389913684","https://openalex.org/W4402559614","https://openalex.org/W4404915088"],"related_works":[],"abstract_inverted_index":{"Improper":[0],"technique":[1,68,225],"is":[2,130],"detrimental":[3],"to":[4,92,162,173,181,203,229,251],"a":[5,49,58,137,175,190,199,232,252],"tennis":[6,66,83,210,249],"player's":[7],"performance":[8,218],"and":[9,23,25,89,97,116,127,159,178,184,220],"increases":[10],"the":[11,37,103,111,118,143,153,163,227],"risk":[12],"of":[13,61,64,105,120,142,155,166,207],"injury.":[14],"Regular":[15],"training":[16,27,84,183,245,250],"routines":[17],"are":[18],"necessary":[19],"but":[20,47],"take":[21],"effort":[22],"motivation,":[24,217],"on-court":[26,182],"requires":[28],"resources":[29],"that":[30,43,240],"pose":[31],"additional":[32],"barriers.":[33],"Virtual":[34],"reality":[35],"paves":[36],"way":[38,60],"for":[39,76],"engaging":[40],"self-training":[41,186],"applications":[42],"address":[44],"these":[45],"barriers,":[46],"without":[48],"coach,":[50],"motion":[51,74,90,107,112,147],"errors":[52],"may":[53],"go":[54],"uncorrected.":[55],"We":[56,101,188],"present":[57,174],"complementary":[59],"practicing":[62],"aspects":[63],"proper":[65,94],"forehand":[67],"in":[69,216,224],"virtual":[70],"reality,":[71],"utilizing":[72,117],"automated":[73],"analysis":[75,91,108],"immediate":[77],"post-action":[78],"multimodal":[79],"feedback.":[80],"Our":[81],"VR":[82,209,244],"utilizes":[85],"motor":[86],"learning":[87,235],"principles":[88],"reinforce":[93],"movement":[95],"patterns":[96],"provide":[98],"timely":[99],"corrections.":[100],"overcome":[102],"problem":[104],"complex":[106],"by":[109],"breaking":[110],"into":[113],"distinct":[114],"phases":[115],"concept":[119],"coaching":[121,157],"rules.":[122],"After":[123],"each":[124],"shot,":[125],"auditory":[126],"visual":[128],"feedback":[129,160],"given,":[131],"focusing":[132],"on":[133],"one":[134],"aspect":[135],"at":[136],"time.":[138],"The":[139],"exclusive":[140],"use":[141],"Meta":[144],"Quest's":[145],"partial":[146],"capture":[148],"poses":[149],"technical":[150],"challenges,":[151],"restricting":[152],"set":[154],"applicable":[156],"rules":[158],"due":[161],"limited":[164],"number":[165],"tracked":[167],"joints.":[168],"However,":[169],"it":[170],"allows":[171],"us":[172],"more":[176],"accessible":[177],"flexible":[179],"alternative":[180],"existing":[185],"setups.":[187],"conducted":[189],"user":[191],"study":[192],"<tex":[193],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(\\mathrm{N}":[195],"=":[196],"26)$</tex>":[197],"following":[198],"within-subjects":[200],"pretest-posttest":[201],"design":[202],"evaluate":[204],"short-term":[205,234],"effects":[206],"our":[208,243],"training.":[211],"Results":[212],"demonstrate":[213],"significant":[214],"improvements":[215],"metrics,":[219],"participants'":[221],"self-reported":[222],"confidence":[223],"from":[226],"pre-":[228],"posttest,":[230],"suggesting":[231],"potential":[233],"effect.":[236],"Qualitative":[237],"insights":[238],"reveal":[239],"participants":[241],"believe":[242],"can":[246],"complement":[247],"traditional":[248],"certain":[253],"degree.":[254]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-11T00:00:00"}