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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http://dx.doi.org/10.3390/jpm10010014 | DOI Listing |
Biosens Bioelectron
January 2025
Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological response that is relayed back to the central nervous system. Unlike virtual reality tools, these devices precisely target peripheral mechanoreceptors by administering specific stimuli.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspired by the spiral structure of and the processing principles of neuronal systems, this study presents a digital channel-enabled distributed force decoding strategy, resulting in a phygital tactile sensing system named PhyTac. This innovative system effectively prevents marker overlap and accurately identifies multipoint stimuli up to 368 regions from coupled signals.
View Article and Find Full Text PDFJ Clin Psychol
January 2025
Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Treatment efficacy for patients with obsessive-compulsive disorder (OCD) with poor insight is low. Insight refers to a patient's ability to recognize that their obsessions are irrational and that their compulsions are futile attempts to reduce anxiety. This case study presents the first application of virtual reality-assisted avatar therapy for OCD (VRT-OCD) in a patient with contamination OCD and ambivalent insight.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Stroke Theme, Level 1, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.
Unlabelled: Stroke patients are rarely asked about their responses to specific design attributes. Virtual reality (VR) offers a promising tool to explore how hospital environments are experienced after stroke.
Purpose: To gather perspectives and emotional responses regarding physical design attributes of hospital patient rooms after stroke.
Nanophotonics
January 2025
Key Laboratory for Information Science of Electromagnetic Waves, School of Information Science and Technology, Fudan University, Shanghai 200433, China.
Gesture recognition plays a significant role in human-machine interaction (HMI) system. This paper proposes a gesture-controlled reconfigurable metasurface system based on surface electromyography (sEMG) for real-time beam deflection and polarization conversion. By recognizing the sEMG signals of user gestures through a pre-trained convolutional neural network (CNN) model, the system dynamically modulates the metasurface, enabling precise control of the deflection direction and polarization state of electromagnetic waves.
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