1
|
Shepley MM, Ames RL, Lin CY. Color and NICU Design. HERD-HEALTH ENVIRONMENTS RESEARCH & DESIGN JOURNAL 2023; 16:240-259. [PMID: 37287232 DOI: 10.1177/19375867231178311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
PURPOSE The appropriate use of color in healthcare settings has been a topic of interest for designers and researchers, and the need for evidence-based standards evident. The purpose of this article is to summarize recent research on color as applicable to neonatal intensive care units and to propose standards for color in these settings. BACKGROUND Research on this topic is limited due to difficulties associated with constructing research protocols, challenges in setting parameters for the independent variable (color), and the need to simultaneously address infants, families, and caregivers. METHODS For our literature review, the following research question was developed: Does the use of color in the design of the neonatal intensive care units (NICUs) impact health outcomes in newborn infants, families, and/or staff? Using Arksey and O'Malley's framework for conducting a structured literature review, we (1) identified the research question, (2) identified relevant studies, (3) selected studies, and (4) collated and summarized the results. Only four papers were found regarding NICUs, so the search was expanded to include related healthcare and authors reporting on best practice. RESULTS Overall, the primary research focused on behavioral or physiological outcomes including the role of wayfinding and art, the impact of lighting on color, and tools for evaluating the impact of color. Best practice recommendations sometimes reflected the primary research but occasionally provided contradictory advice. CONCLUSIONS Based on the reviewed literature, five topics are addressed: palette malleability; the use of the primary colors, blue, red, and yellow; and the relationship between light and color.
Collapse
Affiliation(s)
| | - Rebecca L Ames
- Department of Human Centered Design, Cornell University, Ithaca, NY, USA
| | - Connie Y Lin
- Department of Human Centered Design, Cornell University, Ithaca, NY, USA
| |
Collapse
|
2
|
The Advances of Immersive Virtual Reality Interventions for the Enhancement of Stress Management and Relaxation among Healthy Adults: A Systematic Review. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12147309] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
The rapid changes in human contacts due to the COVID-19 crisis have not only posed a huge burden on the population’s health but may have also increased the demand for evidence-based psychological programs delivered through digital technology. A systematic review, following the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” guidelines, was therefore conducted to explore the advances in stress management interventions utilizing VR and suggest up-to-date directions for future practice. The relevant literature was screened and the search resulted in 22,312 records, of which 16 studies were considered for analysis. The Methodological Index for Non-Randomized Studies (MINORS) was also employed to assess the quality of the included studies. The results suggest that VR-based interventions can facilitate positive changes in subjective stress levels and stress-related biomarkers. However, special attention should be paid to the development of rigorous VR protocols that embrace natural elements and concepts deriving from traditional treatment approaches, such as cognitive behavioral therapy techniques. Overall, this review aims to empower future researchers to grasp the opportunity that the COVID-19 pandemic generated and utilize digital technologies for strengthening individuals’ mental health. Future projects need to conduct large-scale VR studies to evaluate their effectiveness compared to other mental health interventions.
Collapse
|
3
|
Vanhollebeke G, De Smet S, De Raedt R, Baeken C, van Mierlo P, Vanderhasselt MA. The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies. Neurobiol Stress 2022; 18:100452. [PMID: 35573807 PMCID: PMC9095895 DOI: 10.1016/j.ynstr.2022.100452] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/15/2022] [Accepted: 04/17/2022] [Indexed: 12/12/2022] Open
Affiliation(s)
- Gert Vanhollebeke
- Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium
- Medical Image and Signal Processing Group (MEDISIP), Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
- Corresponding author. University Hospital Ghent Ghent, C. Heymanslaan 10, entrance 12 – floor 13, 9000, Belgium.
| | - Stefanie De Smet
- Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium
| | - Rudi De Raedt
- Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Chris Baeken
- Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium
- Department of Psychiatry, University Hospital (UZBrussel), Brussels, Belgium
| | - Pieter van Mierlo
- Medical Image and Signal Processing Group (MEDISIP), Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium
| |
Collapse
|
4
|
EEG-based multi-level stress classification with and without smoothing filter. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
5
|
Perez-Valero E, Vaquero-Blasco MA, Lopez-Gordo MA, Morillas C. Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session. Front Comput Neurosci 2021; 15:684423. [PMID: 34335216 PMCID: PMC8317646 DOI: 10.3389/fncom.2021.684423] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 06/24/2021] [Indexed: 11/13/2022] Open
Abstract
Recent studies have addressed stress level classification via electroencephalography (EEG) and machine learning. These works typically use EEG-based features, like power spectral density (PSD), to develop stress classifiers. Nonetheless, these classifiers are usually limited to the discrimination of two (stress and no stress) or three (low, medium, and high) stress levels. In this study we propose an alternative for quantitative stress assessment based on EEG and regression algorithms. To this aim, we conducted a group of 23 participants (mean age 22.65 ± 5.48) over a stress-relax experience while monitoring their EEG. First, we stressed the participants via the Montreal imaging stress task (MIST), and then we led them through a 360-degree virtual reality (VR) relaxation experience. Throughout the session, the participants reported their self-perceived stress level (SPSL) via surveys. Subsequently, we extracted spectral features from the EEG of the participants and we developed individual models based on regression algorithms to predict their SPSL. We evaluated stress regression performance in terms of the mean squared percentage error (MSPE) and the correlation coefficient (R2). The results yielded from this evaluation (MSPE = 10.62 ± 2.12, R2 = 0.92 ± 0.02) suggest that our approach predicted the stress level of the participants with remarkable performance. These results may have a positive impact in diverse areas that could benefit from stress level quantitative prediction. These areas include research fields like neuromarketing, and training of professionals such as surgeons, industrial workers, or firefighters, that often face stressful situations.
Collapse
Affiliation(s)
- Eduardo Perez-Valero
- Department of Computer Architecture and Technology, University of Granada, Granada, Spain.,Research Centre for Information and Communications Technologies, University of Granada, Granada, Spain
| | - Miguel A Vaquero-Blasco
- Research Centre for Information and Communications Technologies, University of Granada, Granada, Spain.,Department of Signal Theory, Telematics and Communications, University of Granada, Granada, Spain
| | - Miguel A Lopez-Gordo
- Research Centre for Information and Communications Technologies, University of Granada, Granada, Spain.,Department of Signal Theory, Telematics and Communications, University of Granada, Granada, Spain
| | - Christian Morillas
- Department of Computer Architecture and Technology, University of Granada, Granada, Spain.,Research Centre for Information and Communications Technologies, University of Granada, Granada, Spain
| |
Collapse
|
6
|
Kim S, Park H, Choo S. Effects of Changes to Architectural Elements on Human Relaxation-Arousal Responses: Based on VR and EEG. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18084305. [PMID: 33921601 PMCID: PMC8074029 DOI: 10.3390/ijerph18084305] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 11/16/2022]
Abstract
This study combines electroencephalogram (EEG) with virtual reality (VR) technologies to measure the EEG responses of users experiencing changes to architectural elements. We analyze the ratio of alpha to beta waves (RAB) indicators to determine the pre- and poststimulation changes. In our methodology, thirty-three females experience using private rooms in a postpartum care center participated in the experiment. Their brain waves are measured while they are experiencing the VR space of a private room in a postpartum care center. Three architectural elements (i.e., aspect ratio of space, ceiling height, and window ratio) are varied in the VR space. In addition, a self-report questionnaire is administered to examine whether the responses are consistent with the results of the EEG response analysis. As a result, statistically significant differences (p < 0.05) are observed in the changes in the RAB indicator values of the pre- and poststimulation EEG while the subjects are experiencing the VR space where the architectural elements are varied. That is, the effects of the changes to architectural elements on users’ relaxation-arousal responses are statistically verified. Notably, in all the RAB indicator values where significant differences are observed, the poststimulation RAB decreases in comparison to the prestimulus ratios, which is indicative of the arousal response. However, the arousal levels vary across the architectural elements, which implies it would be possible to find out the elements that could induce less arousal response using the proposed method. Moreover, following the experience in the VR space, certain lobes of the brain (F4 and P3 EEG channels) show statistically significant differences in the relaxation-arousal responses. Unlike previous studies, which measured users’ physiological responses to abstract and primordial spatial elements, this study extends the boundaries of the literature by applying the architectural elements applicable to design in practice.
Collapse
Affiliation(s)
| | | | - Seungyeon Choo
- Correspondence: ; Tel.: +82-10-2234-5552; Fax: +82-950-6590
| |
Collapse
|
7
|
Vaquero-Blasco MA, Perez-Valero E, Morillas C, Lopez-Gordo MA. Virtual Reality Customized 360-Degree Experiences for Stress Relief. SENSORS 2021; 21:s21062219. [PMID: 33810135 PMCID: PMC8004715 DOI: 10.3390/s21062219] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/15/2022]
Abstract
The latest studies in virtual reality (VR) have evidenced the potential of this technology to reproduce environments from multiple domains in an immersive way. For instance, in stress relief research, VR has been presented as a portable and inexpensive alternative to chromotherapy rooms, which require an adapted space and are expensive. In this work, we propose a portable and versatile alternative to the traditional chromotherapy color-loop treatment through four different 360-degree virtual experiences. A group of 23 healthy participants (mean age 22.65 ± 5.48) were conducted through a single-session experience divided into four phases while their electroencephalography (EEG) was recorded. First, they were stressed via the Montreal imaging stress task (MIST), and then relaxed using our VR proposal. We applied the Wilcoxon test to evaluate the relaxation effect in terms of the EEG relative gamma and self-perceived stress surveys. The results that we obtained validate the effectiveness of our 360-degree proposal to significantly reduce stress (p-value = 0.0001). Furthermore, the participants deemed our proposal comfortable and immersive (score above 3.5 out of 5). These results suggest that 360-degree VR experiences can mitigate stress, reduce costs, and bring stress relief assistance closer to the general public, like in workplaces or homes.
Collapse
Affiliation(s)
- Miguel A. Vaquero-Blasco
- Department of Signal Theory, Telematics and Communications, University of Granada, Calle Periodista Daniel Saucedo Aranda, s/n, 18014 Granada, Spain;
- Research Centre for Information and Communications Technologies (CITIC), University of Granada, Calle Periodista Rafael Gómez Montero, 2, 18014 Granada, Spain; (E.P.-V.); (C.M.)
| | - Eduardo Perez-Valero
- Research Centre for Information and Communications Technologies (CITIC), University of Granada, Calle Periodista Rafael Gómez Montero, 2, 18014 Granada, Spain; (E.P.-V.); (C.M.)
- Department of Computer Architecture and Technology, University of Granada, Calle Periodista Daniel Saucedo Aranda, s/n, 18014 Granada, Spain
| | - Christian Morillas
- Research Centre for Information and Communications Technologies (CITIC), University of Granada, Calle Periodista Rafael Gómez Montero, 2, 18014 Granada, Spain; (E.P.-V.); (C.M.)
- Department of Computer Architecture and Technology, University of Granada, Calle Periodista Daniel Saucedo Aranda, s/n, 18014 Granada, Spain
| | - Miguel A. Lopez-Gordo
- Department of Signal Theory, Telematics and Communications, University of Granada, Calle Periodista Daniel Saucedo Aranda, s/n, 18014 Granada, Spain;
- Research Centre for Information and Communications Technologies (CITIC), University of Granada, Calle Periodista Rafael Gómez Montero, 2, 18014 Granada, Spain; (E.P.-V.); (C.M.)
- Correspondence: ; Tel.: +34-958-249-721
| |
Collapse
|