scholarly journals Virtual Reality Biofeedback in Health: A Scoping Review

Author(s):  
Robin Lüddecke ◽  
Anna Felnhofer

AbstractOver the past decades, virtual reality (VR) has found its way into biofeedback (BF) therapy programs. Using VR promises to overcome challenges encountered in traditional BF such as low treatment motivation, low attentional focus and the difficulty of transferring learnt abilities to everyday life. Yet, a comprehensive research synthesis is still missing. Hence, this scoping review aims to provide an overview over empirical studies on VR based BF regarding key outcomes, included samples, used soft- and hardware, BF parameters, mode of application and potential limitations. We systematically searched Medline, PsycINFO, Scopus, CINAHL, Google Scholar and Open Grey for empirical research. Eighteen articles met the inclusion criteria. Samples mostly consisted of healthy (44.4%) and/or adult (77.7%) participants. Outcomes were mainly anxiety (44.4%), stress (44.4%) or pain reduction (11.1%), which were reduced by the VR-BF interventions at least as much as by classical BF. Participants in VR-BF interventions showed higher motivation and involvement as well as a better user experience. Heart rate or heart rate variability were the most frequently used BF parameters (50.0%), and most VR-BF interventions (72.2%) employed a natural environment (e.g., island). Currently, there is no clear evidence that VR-BF is more effective than traditional BF. Yet, results indicate that VR-BF may have advantages regarding motivation, user experience, involvement and attentional focus. Further research is needed to assess the specific impact of VR and gamification. Also, testing a broader range of clinical and younger samples would allow more far-reaching conclusions.

2020 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Takurou Magaki ◽  
Michael Vallance

Virtual reality is predicted to change the way we use technologies in education. However, currently restricting the lack of integration is high cost, unconvincing learning data, complexity of the technologies, and persistently, cybersickness. There are a number of theories as to the causes of cybersickness, but none are infallible. Moreover, many of the evaluation methods and empirical studies are highly specialized physiological analyses requiring sophisticated measuring equipment. Such studies can be difficult to prepare and present unnatural conditions for users engaged in a VR experience. In this research the Empatica E4 wearable device and its ecosystem were utilized to record physiological metrics of heart rate variability and electrodermal activity during customized computer-based and VR tasks to detect the onset of cybersickness. Although inconclusive, the metrics of NNMean, SDNN, RMSSD in HRV data, and SCR width and Peak EDA in EDA data are proposed for further analysis as potential indicators of cybersickness.


2020 ◽  
Author(s):  
Amanda S Newton ◽  
Sonja March ◽  
Nicole D Gehring ◽  
Arlen K Rowe ◽  
Ashley D Radomski

BACKGROUND Across eHealth intervention studies involving children, adolescents, and their parents, researchers have measured users’ experiences to assist with intervention development, refinement, and evaluation. To date, there are no widely agreed-on definitions or measures of ‘user experience’ to support a standardized approach for evaluation and comparison within or across interventions. OBJECTIVE We conducted a scoping review with subsequent Delphi consultation to (1) identify how user experience is defined and measured in eHealth research studies, (2) characterize the measurement tools used, and (3) establish working definitions for domains of user experience that could be used in future eHealth evaluations. METHODS We systematically searched electronic databases for published and gray literature available from January 1, 2005 to April 11, 2019. Studies assessing an eHealth intervention that targeted any health condition and was designed for use by children, adolescents, and their parents were eligible for inclusion. eHealth interventions needed to be web-, computer-, or mobile-based, mediated by the internet with some degree of interactivity. Studies were also required to report the measurement of ‘user experience’ as first-person experiences, involving cognitive and behavioural factors, reported by intervention users. Two reviewers independently screened studies for relevance and appraised the quality of user experience measures using published criteria: ‘well-established’, ‘approaching well-established’, ‘promising’, or ‘not yet established’. We conducted a descriptive analysis of how user experience was defined and measured in each study. Review findings subsequently informed the survey questions used in the Delphi consultations with eHealth researchers and adolescent users for how user experience should be defined and measured. RESULTS Of the 8,634 articles screened for eligibility, 129 and one erratum were included in the review. Thirty eHealth researchers and 27 adolescents participated in the Delphi consultations. Based on the literature and consultations, we proposed working definitions for six main user experience domains: acceptability, satisfaction, credibility, usability, user-reported adherence, and perceived impact. While most studies incorporated a study-specific measure, we identified ten well-established measures to quantify five of the six domains of user experience (all except for self-reported adherence). Our adolescent and researcher participants ranked perceived impact as one of the most important domains of user experience and usability as one of the least important domains. Rankings between adolescents and researchers diverged for other domains. CONCLUSIONS Findings highlight the various ways user experience has been defined and measured across studies and what aspects are most valued by researchers and adolescent users. We propose incorporating the working definitions and available measures of user experience to support consistent evaluation and reporting of outcomes across studies. Future studies can refine the definitions and measurement of user experience, explore how user experience relates to other eHealth outcomes, and inform the design and use of human-centred eHealth interventions.


2021 ◽  
pp. 019394592110089
Author(s):  
Jee Young Joo ◽  
Megan F. Liu

This scoping review aimed to examine telehealth-assisted case management for chronic illnesses and assess its overall impact on health care delivery. Guided by the PRISMA statement, this review included 36 empirical studies published between 2011 and 2020. This study identified three weaknesses and four strengths of telehealth-assisted case management. While the weaknesses were negative feelings about telehealth, challenges faced by patients in learning and using telehealth devices, and increased workload for case managers, the strengths included efficient and timely care, increased access to health care services, support for patients’ satisfaction, and cost savings. Future research can be designed and conducted for overcoming the weaknesses of telehealth-assisted case management. Additionally, the strengths identified by this review need to be translated from research into case management practice for chronic illness care. This review not only describes the value of such care strategy, but also provides implications for future nursing practice and research.


2021 ◽  
pp. 100562
Author(s):  
Afsoon Asadzadeh ◽  
Taha Samad-Soltani ◽  
Zahra Salahzadeh ◽  
Peyman Rezaei-Hachesu

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2193
Author(s):  
Juan Luis Higuera-Trujillo ◽  
Carmen Llinares ◽  
Eduardo Macagno

Humans respond cognitively and emotionally to the built environment. The modern possibility of recording the neural activity of subjects during exposure to environmental situations, using neuroscientific techniques and virtual reality, provides a promising framework for future design and studies of the built environment. The discipline derived is termed “neuroarchitecture”. Given neuroarchitecture’s transdisciplinary nature, it progresses needs to be reviewed in a contextualised way, together with its precursor approaches. The present article presents a scoping review, which maps out the broad areas on which the new discipline is based. The limitations, controversies, benefits, impact on the professional sectors involved, and potential of neuroarchitecture and its precursors’ approaches are critically addressed.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aaron Frederick Bulagang ◽  
James Mountstephens ◽  
Jason Teo

Abstract Background Emotion prediction is a method that recognizes the human emotion derived from the subject’s psychological data. The problem in question is the limited use of heart rate (HR) as the prediction feature through the use of common classifiers such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF) in emotion prediction. This paper aims to investigate whether HR signals can be utilized to classify four-class emotions using the emotion model from Russell’s in a virtual reality (VR) environment using machine learning. Method An experiment was conducted using the Empatica E4 wristband to acquire the participant’s HR, a VR headset as the display device for participants to view the 360° emotional videos, and the Empatica E4 real-time application was used during the experiment to extract and process the participant's recorded heart rate. Findings For intra-subject classification, all three classifiers SVM, KNN, and RF achieved 100% as the highest accuracy while inter-subject classification achieved 46.7% for SVM, 42.9% for KNN and 43.3% for RF. Conclusion The results demonstrate the potential of SVM, KNN and RF classifiers to classify HR as a feature to be used in emotion prediction in four distinct emotion classes in a virtual reality environment. The potential applications include interactive gaming, affective entertainment, and VR health rehabilitation.


2021 ◽  
Vol 9 ◽  
pp. 205031212199436
Author(s):  
Robert Kaba Alhassan ◽  
Jerry John Nutor ◽  
Aaron Asibi Abuosi ◽  
Agani Afaya ◽  
Solomon Salia Mohammed ◽  
...  

Introduction: Severe acute respiratory syndrome coronavirus 2 also called coronavirus disease 2019 was first reported in the African continent on 14 February 2020 in Egypt. As at 18 December 2020, the continent reported 2,449,754 confirmed cases, 57,817 deaths and 2,073,214 recoveries. Urban cities in Africa have particularly suffered the brunt of coronavirus disease 2019 coupled with criticisms that the response strategies have largely been a ‘one-size-fits-all’ approach. This article reviewed early evidence on urban health nexus with coronavirus disease 2019 preparedness and response in Africa. Methods: A rapid scoping review of empirical and grey literature was done using data sources such as ScienceDirect, GoogleScholar, PubMed, HINARI and official websites of World Health Organization and Africa Centres for Disease Control and Prevention. A total of 26 full articles (empirical studies, reviews and commentaries) were synthesised and analysed qualitatively based on predefined inclusion criteria on publication relevance and quality. Results: Over 70% of the 26 articles reported on coronavirus disease 2019 response strategies across Africa; 27% of the articles reported on preparedness towards coronavirus disease 2019, while 38% reported on urbanisation nexus with coronavirus disease 2019; 40% of the publications were full-text empirical studies, while the remaining 60% were either commentaries, reviews or editorials. It was found that urban cities remain epicentres of coronavirus disease 2019 in Africa. Even though some successes have been recorded in Africa regarding coronavirus disease 2019 fight, the continent’s response strategies were largely found to be a ‘one-size-fits-all’ approach. Consequently, adoption of ‘Western elitist’ mitigating measures for coronavirus disease 2019 containment resulted in excesses and spillover effects on individuals, families and economies in Africa. Conclusion: Africa needs to increase commitment to health systems strengthening through context-specific interventions and prioritisation of pandemic preparedness over response. Likewise, improved economic resilience and proper urban planning will help African countries to respond better to future public health emergencies, as coronavirus disease 2019 cases continue to surge on the continent.


Sign in / Sign up

Export Citation Format

Share Document