2023
DOI: 10.3390/f14122412
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Forest Visitors’ Multisensory Perception and Restoration Effects: A Study of China’s National Forest Parks by Introducing Generative Large Language Model

Yu Wei,
Yueyuan Hou

Abstract: Sensory perception of forests is closely related to human health and well-being. Based on attention recovery theory and stress relief theory, this paper investigates the influence of sensory perception of forests on visitors’ restoration effects from a multidimensional and multisensory perspective, integrating the use of a generative large language model, regression analysis, and semantic analysis. The results of the study show that (1) the application of a generative large language model provides new ideas an… Show more

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Cited by 3 publications
(1 citation statement)
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“…Furthermore, the research explores the impact of the objective landscape environment on the psychological dimensions of the public. Wei et al investigated the influence of sensory perception of forests on visitors' restoration effects from a multidimensional and multisensory perspective [13]. They utilized a generative large language model to address the dilemma posed by traditional self-report scale measures and revealed that different sensory quantities (sight, hearing, touch, and taste) have varying effects on visitor restoration.…”
Section: Summary Of Articles Included In the Special Issuementioning
confidence: 99%
“…Furthermore, the research explores the impact of the objective landscape environment on the psychological dimensions of the public. Wei et al investigated the influence of sensory perception of forests on visitors' restoration effects from a multidimensional and multisensory perspective [13]. They utilized a generative large language model to address the dilemma posed by traditional self-report scale measures and revealed that different sensory quantities (sight, hearing, touch, and taste) have varying effects on visitor restoration.…”
Section: Summary Of Articles Included In the Special Issuementioning
confidence: 99%