Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach.

Virtual reality (VR) enables the development of virtual training frameworks suitable for various domains, especially when real-world conditions may be hazardous or impossible to replicate because of unique additional resources (e.g., equipment, infrastructure, people, locations). Although VR technology has significantly advanced in recent years, methods for evaluating immersion (i.e., the extent to which the user is engaged with the sensory information from the virtual environment or is invested in the intended task) continue to rely on self-reported questionnaires, which are often administered after using the virtual scenario. Having an objective method to measure immersion is particularly important when using VR for training, education, and applications that promote the development, fine-tuning, or maintenance of skills. The level of immersion may impact performance and the translation of knowledge and skills to the real-world. This is particularly important in tasks where motor skills are combined with complex decision making, such as surgical procedures. Efforts to better measure immersion have included the use of physiological measurements including heart rate and skin response, but so far they do not offer robust metrics that provide the sensitivity to discriminate different states (idle, easy, and hard), which is critical when using VR for training to determine how successful the training is in engaging the user's senses and challenging their cognitive capabilities. In this study, electroencephalography (EEG) data were collected from 14 participants who completed VR jigsaw puzzles with two different levels of task difficulty. Machine learning was able to accurately classify the EEG data collected during three different states, obtaining accuracy rates of 86% and 97% for differentiating easy versus hard difficulty states and baseline vs. VR states. Building on these results may enable the identification of robust biomarkers of immersion in VR, enabling real-time recognition of the level of immersion that can be used to design more effective and translative VR-based training. This method has the potential to adjust aspects of VR related to task difficulty to ensure that participants are immersed in VR.

Perceived barriers and solutions identified by healthcare professionals in utilizing web-based reminiscence therapy to support dementia care during the pandemic.

This paper presents findings from a qualitative study conducted in Ontario, Canada, exploring healthcare professionals' perceptions of barriers and solutions for implementing Web-Based Reminiscence Therapy (WBRT) in an institutionalized settings for dementia care during the COVID-19 pandemic. The study identified five major barriers, including the lack of on-boarding/educational training, need for technology availability and technical support, limited attention span of persons with dementia (PWD), availability of multi-sensory features, and time constraints due to staff workload. Seven major themes emerged related to proposed solutions/suggestions: (1) involving younger generations, (2) focusing on technology training, (3) integrating with other digital platforms, (4) adding narratives/descriptions to recollect memories, (5) ensuring accessibility, (6) adding QR codes for retrieving information, and (7) combining digital/traditional reminiscence methods. These findings provide valuable insights for implementing WBRT to facilitate dementia care and for the future refinement of its application.

Healthcare professionals' perception of using a web-based reminiscence therapy to support person with dementia during the COVID-19 pandemic.

BACKGROUND: Reminiscence therapy (RT) is the most common non-pharmacological treatment for dementia care. The therapy stimulates the senses to evoke memories having the potential to reduce Behavioral and Psychological Symptoms of Dementia (BPSD). Digital RT, such as web-based reminiscence therapy (WBRT), has the potential to support dementia care and reduce the caregiving burden. AIMS: This study aimed to explore healthcare professionals (HCPs) perceptions of utilizing WBRT in institutionalized settings to support persons with dementia during the COVID-19 pandemic. METHODS: A qualitative phenomenological descriptive study was adopted and guided by Graham's Knowledge to Action framework. Online training on the use of WBRT was conducted, followed by interviews with HCPs. RESULTS: Four major themes were identified on the potential use of WBRT in dementia care, including usability and efficacy, impact on caregiving, capability of reducing BPSD, and. feasibility during COVID-19 social distancing. DISCUSSION: This study recognized the potential use of WBRT to support the person with dementia during the pandemic in institutionalized settings. CONCLUSION: The knowledge generated from this study will guide the future application of WBRT to support dementia care in diverse healthcare settings.