Birenboim Amit, Ben-Nun Bloom Pazit, Levit Hila, Omer Itzhak
Department of Geography and the Human Environment, Tel Aviv University, Tel Aviv 6997801, Israel.
Department of Political Science, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Int J Environ Res Public Health. 2021 Jan 6;18(2):364. doi: 10.3390/ijerph18020364.
Recent approaches in the research on walkable environments and wellbeing go beyond correlational analysis to consider the specific characteristics of individuals and their interaction with the immediate environment. Accordingly, a need has been accentuated for new human-centered methods to improve our understanding of the mechanisms underlying environmental effects on walking and consequently on wellbeing. Immersive virtual environments (IVEs) were suggested as a potential method that can advance this type of research as they offer a unique combination between controlled experimental environments that allow drawing causal conclusions and a high level of environmental realism that supports ecological validity. The current study pilot tested a walking simulator with additional sensor technologies, including biosensors, eye tracking and gait sensors. Results found IVEs to facilitate extremely high tempo-spatial-resolution measurement of physical walking parameters (e.g., speed, number of gaits) along with walking experience and wellbeing (e.g., electrodermal activity, heartrate). This level of resolution is useful in linking specific environmental stimuli to the psychophysiological and behavioral reactions, which cannot be obtained in real-world and self-report research designs. A set of guidelines for implementing IVE technology for research is suggested in order to standardize its use and allow new researchers to engage with this emerging field of research.
近期关于适宜步行环境与健康的研究方法超越了相关性分析,开始考虑个体的具体特征及其与周边环境的相互作用。因此,人们愈发迫切地需要新的以人为本的方法,以增进我们对环境影响步行进而影响健康背后机制的理解。沉浸式虚拟环境(IVEs)被认为是一种有潜力推动此类研究的方法,因为它们提供了一种独特的组合,既有能得出因果结论的可控实验环境,又有支持生态效度的高度环境逼真度。当前研究对一款配备了包括生物传感器、眼动追踪和步态传感器等附加传感技术的步行模拟器进行了试点测试。结果发现,沉浸式虚拟环境有助于对步行的身体参数(如速度、步数)以及步行体验和健康状况(如皮肤电活动、心率)进行极高时空分辨率的测量。这种分辨率水平有助于将特定环境刺激与心理生理和行为反应联系起来,而这在现实世界和自我报告研究设计中是无法实现的。本文提出了一套在研究中实施沉浸式虚拟环境技术的指导方针,以规范其使用,并让新的研究人员能够涉足这一新兴研究领域。