The influence of forest characteristics on psychological well-being: an analysis based on immersive virtual reality

IF 2.9 Q1 FORESTRY
S. Sacchelli , E. Barbierato , S. Baldessari , F. Becheri , A. Cerutti , S. Notaro , S. Righi , A. Paletto , I. Bernetti
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引用次数: 0

Abstract

This study investigates the influence of forest characteristics and seasonality on psychological well-being, based on survey data collected in real forest and administered to interviewees through immersive virtual environment. Grounded in the context of "forest bathing" and "forest therapy" research, the work explores how environmental parameters interact with individual responses and contribute to the restorative effects of forest environments. The analysis considers various forest typologies, species compositions, seasons, greenness indices, brightness levels, forest densities, and dendrometric variables. Psychological well-being was assessed using the Restorative Outcome Scale (ROS). The findings confirm the positive impact of forest environments on individual health and well-being, highlighting the significant roles of the greenness index (Vegetative Index – VEG), seasonality, and brightness in shaping ROS scores. Furthermore, statistical analyses reveal a clear seasonal modulation of VEG effects, suggesting complex, non-additive interactions among environmental factors. The study also identifies preliminary patterns indicating potential social influences on ROS responses and outlines directions for future research.
森林特征对心理健康的影响:基于沉浸式虚拟现实的分析
本研究基于在真实森林中收集的调查数据,并通过沉浸式虚拟环境对受访者进行调查,探讨了森林特征和季节性对心理健康的影响。在“森林沐浴”和“森林疗法”研究的背景下,该工作探讨了环境参数如何与个体反应相互作用,并有助于森林环境的恢复效果。该分析考虑了各种森林类型、物种组成、季节、绿化率指数、亮度水平、森林密度和树木密度变量。采用恢复性结局量表(ROS)评估心理健康状况。研究结果证实了森林环境对个体健康和福祉的积极影响,强调了绿色指数(Vegetative index - VEG)、季节性和亮度在形成ROS分数中的重要作用。此外,统计分析还揭示了蔬菜生长效应的明显季节性调节,表明环境因素之间存在复杂的非加性相互作用。该研究还确定了表明ROS反应的潜在社会影响的初步模式,并概述了未来研究的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trees, Forests and People
Trees, Forests and People Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.30
自引率
7.40%
发文量
172
审稿时长
56 days
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