000118987 001__ 118987 000118987 005__ 20240319081014.0 000118987 0247_ $$2doi$$a10.1145/3508361 000118987 0248_ $$2sideral$$a129121 000118987 037__ $$aART-2022-129121 000118987 041__ $$aeng 000118987 100__ $$0(orcid)0000-0002-0073-6398$$aMartin, Daniel$$uUniversidad de Zaragoza 000118987 245__ $$aMultimodality in VR: A survey 000118987 260__ $$c2022 000118987 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118987 5203_ $$aVirtual reality (VR) is rapidly growing, with the potential to change the way we create and consume content. In VR, users integrate multimodal sensory information they receive, to create a unified perception of the virtual world. In this survey, we review the body of work addressing multimodality in VR, and its role and benefits in user experience, together with different applications that leverage multimodality in many disciplines. These works thus encompass several fields of research, and demonstrate that multimodality plays a fundamental role in VR; enhancing the experience, improving overall performance, and yielding unprecedented abilities in skill and knowledge transfer. 000118987 536__ $$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 765121-DyViTo$$9info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME 000118987 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000118987 590__ $$a16.6$$b2022 000118987 592__ $$a4.457$$b2022 000118987 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b3 / 111 = 0.027$$c2022$$dQ1$$eT1 000118987 593__ $$aTheoretical Computer Science$$c2022$$dQ1 000118987 593__ $$aComputer Science (miscellaneous)$$c2022$$dQ1 000118987 594__ $$a28.5$$b2022 000118987 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000118987 700__ $$0(orcid)0000-0002-8016-7649$$aMalpica, Sandra$$uUniversidad de Zaragoza 000118987 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000118987 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000118987 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza 000118987 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000118987 773__ $$g54, 10s (2022), 216 [36 pp.]$$pACM comput. surv.$$tACM Computing Surveys$$x0360-0300 000118987 8564_ $$s12861883$$uhttps://zaguan.unizar.es/record/118987/files/texto_completo.pdf$$yPostprint 000118987 8564_ $$s2019192$$uhttps://zaguan.unizar.es/record/118987/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000118987 909CO $$ooai:zaguan.unizar.es:118987$$particulos$$pdriver 000118987 951__ $$a2024-03-18-15:24:15 000118987 980__ $$aARTICLE