Evaluating the impact of viewing location on view perception using a virtual environment

Abd-Alhamid, Fedaa; Kent, Michael; Calautit, John Kaiser; Wu, Yupeng

doi:10.1016/j.buildenv.2020.106932

Cited by 71 publications

(28 citation statements)

References 70 publications

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“…Roessler (Roessler, 1980) showed that the preferred width and size of a window depend on visual features that could be seen. Other studies have shown that the amount of visible sky, which is dependent on the distance the occupant is from the window, can significantly influence the view satisfaction (Abd-Alhamid et al, 2020;Keighley, 1973b).…”

Section: Distance From a Window And Window-to-wall Ratiomentioning

confidence: 99%

A Window View Quality Assessment Framework

Kent

Schiavon

et al. 2021

LEUKOS

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The views that windows provide from inside a building affect human health and well-being. Although the window view is an important architectural element in the building, there is no established framework to guide architectural design. The literature is widely dispersed across different disciplinary fields, and there is a need to coalesce this information into a framework that can be applied into the building design process. Based on the literature, we present a framework for what constitutes "view quality." At the basis of our framework, we propose three primary variables: View Content (the assessment of visual features seen in the window view); View Access (the measure of how much of the view can be seen through the window from the occupant's position); and View Clarity (the assessment of how clear the view content appears in the window view when seen by an occupant). Each variable was thematically derived from different sources (e.g., daylighting standards, green certification systems, and scientific research studies). We describe the most important characteristics of each variable, and from our review of the literature, we provide an index that can measure the quality of a window view. We also provide design recommendations for integrating these three variables into the building process and identify knowledge gaps.

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Section: Distance From a Window And Window-to-wall Ratiomentioning

confidence: 99%

A Window View Quality Assessment Framework

Kent

Schiavon

et al. 2021

LEUKOS

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show abstract

“…building age, architectural style, and maintenance) can evoke either positive or negative responses when observed [15,16]. Keighley et al [18], and Abd-Alhamid et al [19] found that window shape, the distance between view objects and observers, and visibility of certain visual layers (e.g. sky) influence view quality.…”

Section: Quantifying View Qualitymentioning

confidence: 99%

“…To measure a perceived distance for each element type (Figure 2b) [19], the tool calculates the average distance of the closest 30% of ray-object intersection points for each view category. This method which calculates a critical distance to several objects in the same content type is devised to avoid a distance to an unrecognizable minuscule object but to capture a close average distance instead of middle distance or far distance because perceived view depth is mostly influenced by close objects obstructing the view.…”

Section: View Property Computationmentioning

confidence: 99%

Seemo: A new tool for early design window view satisfaction evaluation in residential buildings

Kim

Kent

Kral

et al. 2022

Building and Environment

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“…The emotional states of the subjects based on the four experimental conditions were evaluated with PANAS, which was also used in the previous studies that analyzed the "positive and negative affects" of the subjects based on an indoor environment. [29][30][31] "Positive affect" refers to the positive emotions and moods, including inspiration, interest, pride, enthusiasm, energy, and joy, while "negative affect" refers to the negative emotions and moods, including stress, sadness, grief, and fear. PANAS is the self-report measure of emotional arousal developed by D. Watson, L.A. Clark, and A. Tellegen.…”

Section: Measurement Of the "Positive And Negative Affects" Of The Subjectsmentioning

confidence: 99%

Emotional impact, task performance and task load of green walls exposure in a virtual environment

et al. 2021

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Recently, due to the Coronavirus Disease 2019 (COVID-19) pandemic, most countries around the world have issued "stay-at-home" orders to restrict people's face-to-face activities. Social changes (e.g., social distancing, non-contact culture, and telecommuting) due to COVID-19 drastically increased the time people spent indoors. 1,2 The decrease in outdoor activities, increase in social isolation, and fear of COVID-19 contagion have adversely affected human mental health, subsequently becoming a major cause of insomnia, depression, and suicide. [3][4][5] Accordingly, the role of visual elements of indoor environments that can restore human mental health has become important.The application of natural elements (e.g., indoor plants, indoor gardens, green walls, and green roofs) as a method of creating healthy indoor environments is increasing. 6 Biophilic design, which uses elements of nature as architectural elements of interior spaces, recently received attention and is included as a key design item in green building certifications such as the WELL Building Standard, the Leadership in Energy and Environmental Design, and the Green Standard for Energy and Environmental Design. [7][8][9] Biophilic design began to attract attention from the book "The Biophilia Hypothesis" written by Stephen Kellert and E. O. Wilson in 1993. 10 Its visual role can be explained by various environmental psychological theories (e.g., the Stress Recovery Theory and the Attention Restoration Theory).

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Evaluating the impact of viewing location on view perception using a virtual environment

Cited by 71 publications

References 70 publications

A Window View Quality Assessment Framework

A Window View Quality Assessment Framework

Seemo: A new tool for early design window view satisfaction evaluation in residential buildings

Emotional impact, task performance and task load of green walls exposure in a virtual environment

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