Effect of the preference of visual elements on the intention of reuse when designing a healing environment of welfare facilities for senior citizens: Focusing on welfare facilities for senior citizens in Seoul

Wen, Fang I.; Huang, Meng Jun; Yi, WonJe

doi:10.47294/ksbda.22.2.24

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, the field of visual perception has attracted significant attention [11]. Wen et al showed that elements and attributes of a leisure environment can affect people's psychology and physiology and that extracting and optimizing environmental factors can effectively improve health [12][13][14]. Within the realm of visual perception research, visual comfort includes not only a suitable light environment but also other visual perception factors.…”

Section: Correlation Between Visual Perception and Environmental Eval...mentioning

confidence: 99%

“…From the perspective of the existing literature, traditional research methods, such as questionnaire surveys and the combination of scales and interviews, are widely employed [5,12]. These traditional methods are time consuming, laborious, and easily affected by the investigator's subjective feelings.…”

Section: Research On Visual Perception Using Eye Tracker and Virtual ...mentioning

confidence: 99%

See 1 more Smart Citation

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Li,

Huang,

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

The visual perception of leisure spaces between residences in cold regions is important for public health. To compensate for the existing researches` lack of ignoring the cold snow season`s influence, this study selected two types of outdoor leisure space environments in non-snow and snow seasons as research objects. An eye tracker combined with a Semantic Difference (SD) questionnaire was used to verify the feasibility of the application of virtual reality technology, screen out leisure gaze characteristics, and reveal the environmental factors related to leisure visual perception. In snow season, spatial aspect ratio (SAR), building elevation saturation (BS), and grass proportion in the field of view (GP) showed strong correlation to the leisure visual perception scores (W). In non-snow season, apart from the above three factors, roof height difference (RHD), tall tree height (TTH) and color contrast (HC) also influenced W obviously. The effects of factors on W were revealed in immersive virtual en-vironment (IVE) orthogonal experiments and genetic algorithm (GA) and k-nearest neighbor algorithm (KNN) were combined to optimized the environmental factors. The optimized threshold ranges in the non-snow season environment were SAR: 1.82‒2.15, RHD: 10.81 m‒20.09 m, BS: 48.53‒61.01, TTH: 14.18 m‒18.29 m, GP: 0.12‒0.15, and HC: 18.64‒26.83. In the snow season environment, the optimized threshold ranges were SAR: 2.22‒2.54, BS: 68.47‒82.34, and GP: 0.1‒0.14.

show abstract

Section: Correlation Between Visual Perception and Environmental Eval...mentioning

confidence: 99%

Section: Research On Visual Perception Using Eye Tracker and Virtual ...mentioning

confidence: 99%

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Li,

Huang,

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…More than 80% of information received by humans comes from the visual system [10]. The elements and attributes of a landscape environment can affect people's psychology and physiology, and Land 2024, 13, 367 2 of 34 extracting and optimizing environmental factors can effectively improve health [11][12][13][14]. Researchers have conducted a significant amount of research on the effect of landscape environments on visual perception.…”

Section: Introductionmentioning

confidence: 99%

Visual Perception Optimization of Residential Landscape Spaces in Cold Regions Using Virtual Reality and Machine Learning

Li,

Huang,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

The visual perception of landscape spaces between residences in cold regions is important for public health. To compensate for the existing research ignoring the cold snow season’s influence, this study selected two types of outdoor landscape space environments in non-snow and snow seasons as research objects. An eye tracker combined with a semantic differential (SD) questionnaire was used to verify the feasibility of the application of virtual reality technology, screen out the gaze characteristics in the landscape space, and reveal the design factors related to landscape visual perception. In the snow season, the spatial aspect ratio (SAR), building elevation saturation (BS), and grass proportion in the field of view (GP) showed strong correlations with the landscape visual perception scores (W). In the non-snow season, in addition to the above three factors, the roof height difference (RHD), tall-tree height (TTH), and hue contrast (HC) also markedly influenced W. The effects of factors on W were revealed in immersive virtual environment (IVE) orthogonal experiments, and the genetic algorithm (GA) and k-nearest neighbor algorithm (KNN) were combined to optimize the environmental factors. The optimized threshold ranges in the non-snow season environment were SAR: 1.82–2.15, RHD: 10.81–20.09 m, BS: 48.53–61.01, TTH: 14.18–18.29 m, GP: 0.12–0.15, and HC: 18.64–26.83. In the snow season environment, the optimized threshold ranges were SAR: 2.22–2.54, BS: 68.47–82.34, and GP: 0.1–0.14.

show abstract

Effect of the preference of visual elements on the intention of reuse when designing a healing environment of welfare facilities for senior citizens: Focusing on welfare facilities for senior citizens in Seoul

Cited by 2 publications

References 0 publications

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Visual Perception Optimization of Residential Landscape Spaces in Cold Regions Using Virtual Reality and Machine Learning

Contact Info

Product

Resources

About