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Mangalam M, Yarossi M, Furmanek MP, Krakauer JW, Tunik E. Investigating and acquiring motor expertise using virtual reality. J Neurophysiol 2023; 129:1482-1491. [PMID: 37194954 PMCID: PMC10281781 DOI: 10.1152/jn.00088.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 05/18/2023] Open
Abstract
After just months of simulated training, on January 19, 2019 a 23-year-old E-sports pro-gamer, Enzo Bonito, took to the racetrack and beat Lucas di Grassi, a Formula E and ex-Formula 1 driver with decades of real-world racing experience. This event raised the possibility that practicing in virtual reality can be surprisingly effective for acquiring motor expertise in real-world tasks. Here, we evaluate the potential of virtual reality to serve as a space for training to expert levels in highly complex real-world tasks in time windows much shorter than those required in the real world and at much lower financial cost without the hazards of the real world. We also discuss how VR can also serve as an experimental platform for exploring the science of expertise more generally.
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Affiliation(s)
- Madhur Mangalam
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States
- Division of Biomechanics and Research Development, Department of Biomechanics, University of Nebraska at Omaha, Omaha, Nebraska, United States
- Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, Nebraska, United States
| | - Mathew Yarossi
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States
- Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, United States
| | - Mariusz P Furmanek
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States
- Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, Katowice, Poland
- Physical Therapy Department, University of Rhode Island, Kingston, Rhode Island, United States
| | - John W Krakauer
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- Department of Physical Medicine and Rehabilitation, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- The Santa Fe Institute, Santa Fe, New Mexico, United States
| | - Eugene Tunik
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States
- Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, United States
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Sarpourian F, Samad‐Soltani T, Moulaei K, Bahaadinbeigy K. The effect of virtual reality therapy and counseling on students' public speaking anxiety. Health Sci Rep 2022; 5:e816. [PMID: 36189405 PMCID: PMC9489082 DOI: 10.1002/hsr2.816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 08/04/2022] [Accepted: 08/17/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Fatemeh Sarpourian
- Medical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran
| | - Taha Samad‐Soltani
- Department of Health Information Management, School of Management and Medical Informatics Tabriz University of Medical Sciences Tabriz Iran
| | - Khadijeh Moulaei
- Medical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran
| | - Kambiz Bahaadinbeigy
- Medical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran
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Ong T, Wilczewski H, Soni H, Nisbet Q, Paige SR, Barrera JF, Welch BM, Bunnell BE. The Symbiosis of Virtual Reality Exposure Therapy and Telemental Health: A Review. FRONTIERS IN VIRTUAL REALITY 2022; 3:848066. [PMID: 37483657 PMCID: PMC10361704 DOI: 10.3389/frvir.2022.848066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Phobias and related anxiety are common and costly mental health disorders. Experts anticipate the prevalence of phobias will increase due to the COVID-19 pandemic. Exposure therapies have been established as effective and reliable treatments for anxiety, including recent innovations in virtual reality-based exposure therapy (VRET). With the recent advent of telemental health (TMH), VRET is poised to become mainstream. The combination of VRET and TMH has the potential to extend provider treatment options and improve patient care experiences. In this narrative review, we describe how recent events have accelerated VRET + TMH, identify barriers to VRET + TMH implementation, and discuss strategies to navigate those barriers.
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Affiliation(s)
- Triton Ong
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
| | | | - Hiral Soni
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
| | - Quinn Nisbet
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
| | | | - Janelle F. Barrera
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
- Biomedical Informatics Center, Public Health and Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Brandon M. Welch
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
- Innovation in Mental Health Lab, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, FL, United States
| | - Brian E. Bunnell
- Doxy.me Research, Doxy.me Inc., Rochester, NY, United States
- Biomedical Informatics Center, Public Health and Sciences, Medical University of South Carolina, Charleston, SC, United States
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Chard I, van Zalk N. Virtual Reality Exposure Therapy for Treating Social Anxiety: A Scoping Review of Treatment Designs and Adaptation to Stuttering. Front Digit Health 2022; 4:842460. [PMID: 35281220 PMCID: PMC8913509 DOI: 10.3389/fdgth.2022.842460] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/28/2022] [Indexed: 12/16/2022] Open
Abstract
Virtual Reality Exposure Therapy (VRET) has been shown to be an effective technique for reducing social anxiety. People who stutter are at greater risk of developing heightened social anxiety. Cognitive behavior therapy protocols have shown promise in reducing social anxiety in people who stutter, but no studies have investigated VRET targeting social anxiety associated with stuttering. The aim of the current review is to provide an overview of VRET techniques used to treat social anxiety and insights into how these techniques might be adopted in the case of comorbid stuttering and social anxiety. Twelve studies were reviewed to understand key distinctions in VRET protocols used to treat social anxiety. Distinctions include exercises targeting public speaking vs. general social anxiety, computer-generated virtual environments vs. 360° video, and therapist guided vs. automated VRET. Based on the review findings, we propose how certain features could be applied in the case of stuttering. Virtual therapists, inhibitory learning techniques and integration into speech therapy may be suitable ways to tailor VRET. Regardless of these different techniques, VRET should consider the situations and cognitive-behavioral processes that underlie the experience of social anxiety amongst people who stutter.
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Affiliation(s)
- Ian Chard
- Design Psychology Lab, Dyson School of Design Engineering, Imperial College London, London, United Kingdom
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Takac M, Collett J, Conduit R, De Foe A. Addressing virtual reality misclassification: A hardware-based qualification matrix for virtual reality technology. Clin Psychol Psychother 2021; 28:538-556. [PMID: 34110659 DOI: 10.1002/cpp.2624] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 05/22/2021] [Indexed: 01/19/2023]
Abstract
Through its unique sensory synchronized design, virtual reality (VR) provides a convincing, user-centred experience of highly controllable scenarios. Importantly, VR is a promising modality for healthcare, where treatment efficacy has been recognized for a range of conditions. It is equally valuable across wider research disciplines. However, there is a lack of suitable criteria and consistent terminology with which to define VR technology. A considerable number of studies have misclassified VR hardware (e.g. defining laptops as VR), hindering validity and research comparisons. This review addresses these limitations and establishes a standardized VR qualification framework. As a result of a comprehensive theoretical and literature review, the hardware-based VR qualification matrix is proposed. The matrix criteria consist of (1) three-dimensional (3D) synchronized sensory stimulation; (2) degrees of freedom tracking; and (3) visual suppression of physical stimuli. To validate the model and quantify the current scale/diversity of VR misclassification, a 2019 sectional review of health-related studies was conducted. Of the 115 studies examined against standardized criteria, 35.7% utilized VR, 31.3% misclassified VR, 18.3% were considered quasi-VR, and 14.8% omitted critical specifications. The proposed model demonstrates good validity and reliability for qualifying and classifying VR. Key Practitioner Messages Virtual reality (VR) therapy has gained rapid empirical support, although many practitioners do not understand the difference between genuine and less-realistic VR variations. That has resulted from an evident lack of suitable criteria to define VR across a range of studies and protocols. Our proposed hardware-based virtual reality qualification matrix addresses issues to do with misclassification, via the introduction of standardised criteria. Applying the matrix to existing literature has revealed that more than 30% of VR studies use hardware that does not fit the high standards of rigour required for immersion in a simulated space. The model is a practical tool researchers and practitioners can use to quality and verify VR standards across research studies.
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Hinojo-Lucena FJ, Aznar-Díaz I, Cáceres-Reche MP, Trujillo-Torres JM, Romero-Rodríguez JM. Virtual Reality Treatment for Public Speaking Anxiety in Students. Advancements and Results in Personalized Medicine. J Pers Med 2020; 10:E14. [PMID: 32121589 PMCID: PMC7151627 DOI: 10.3390/jpm10010014] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/14/2020] [Accepted: 02/18/2020] [Indexed: 12/15/2022] Open
Abstract
Public speaking anxiety (PSA) is a common phobia in the student population. Traditionally, exposure therapy has been used as a treatment. However, the use of virtual reality (VR) is increasingly common to treat PSA. The purpose of this paper was to analyze the published scientific literature on VR as a treatment for PSA in students. The articles indexed in two databases (Web of Science and Scopus) were analyzed, with a time period from the beginning of the first publications until 2019 included. The systematic literature review was based on fixed inclusion and exclusion criteria. A total of 13 studies were identified which included 481 students. The results collected indicate that the duration of treatments to have positive effects was at least one week, where the number of sessions was between one and twelve. Furthermore, most VR treatments reported positive effects. Finally, this study showed evidence that VR treatment for PSA is effective while being less invasive than in vivo exposure.
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Affiliation(s)
| | | | | | | | - José-María Romero-Rodríguez
- Department of Didactics and School Organization, University of Granada, 18071 Granada, Spain; (F.-J.H.-L.); (I.A.-D.); (M.-P.C.-R.); (J.-M.T.-T.)
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Fernández-Álvarez J, Di Lernia D, Riva G. Virtual Reality for Anxiety Disorders: Rethinking a Field in Expansion. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1191:389-414. [PMID: 32002939 DOI: 10.1007/978-981-32-9705-0_21] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The principal aim to this chapter is to present the latest ideas in virtual reality (VR), some of which have already been applied to the field of anxiety disorders, and others are still pending to be materialized. More than 20 years ago, VR emerged as an exposure tool in order to provide patients and therapists with more appealing ways of delivering a technique that was undoubtedly effective but also rejected and thus underused. Throughout these years, many improvements were achieved. The first section of the chapter describes those improvements, both considering the research progresses and the applications in the real world. In a second part, our main interest is to expand the discussion of the new applications of VR beyond its already known role as an exposure tool. In particular, VR is enabling the materialization of numerous ideas that were previously confined to a merely philosophical discussion in the field of cognitive sciences. That is, VR has the enormous potential of providing feasible ways to explore nonclassical ways of cognition, such as embodied and situated information processing. Despite the fact that many of these developments are not fully developed, and not specifically designed for anxiety disorders, we want to introduce these new ideas in a context in which VR is experiencing an enormous transformation.
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Affiliation(s)
| | | | - Giuseppe Riva
- Universita Cattolica del Sacro Cuore, Milan, Italy. .,ATN-P Lab, Istituto Auxologico Italiano, Milan, Italy.
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Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals. ELECTRONICS 2019. [DOI: 10.3390/electronics8091039] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Virtual reality exposure therapy (VRET) can have a significant impact towards assessing and potentially treating various anxiety disorders. One of the main strengths of VRET systems is that they provide an opportunity for a psychologist to interact with virtual 3D environments and change therapy scenarios according to the individual patient’s needs. However, to do this efficiently the patient’s anxiety level should be tracked throughout the VRET session. Therefore, in order to fully use all advantages provided by the VRET system, a mental stress detection system is needed. The patient’s physiological signals can be collected with wearable biofeedback sensors. Signals like blood volume pressure (BVP), galvanic skin response (GSR), and skin temperature can be processed and used to train the anxiety level classification models. In this paper, we combine VRET with mental stress detection and highlight potential uses of this kind of VRET system. We discuss and present a framework for anxiety level recognition, which is a part of our developed cloud-based VRET system. Physiological signals of 30 participants were collected during VRET-based public speaking anxiety treatment sessions. The acquired data were used to train a four-level anxiety recognition model (where each level of ‘low’, ‘mild’, ‘moderate’, and ‘high’ refer to the levels of anxiety rather than to separate classes of the anxiety disorder). We achieved an 80.1% cross-subject accuracy (using leave-one-subject-out cross-validation) and 86.3% accuracy (using 10 × 10 fold cross-validation) with the signal fusion-based support vector machine (SVM) classifier.
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