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Human Physiological Signal Based Building Environmental Controls for Visual Comfort
People spend more than 90% of their time in buildings in the U.S. ("US Environmental Protection Agency | Report to Congress on Indoor Air Quality” 1989). This significant time length in a daily life naturally strengthens the importance of indoor environmental quality (IEQ), especially in an office environment, where the occupant's work productivity and health are highlighted. Among the IEQ components (thermal, air, lighting, acoustic, and spatial quality), the lighting environmental condition has the most significant effect on an occupant's visual comfort and sensations due to its instantaneous involvement into his/her environmental perceptions. However, depending on an individual's physiological characteristics, the preferred lighting conditions may vary and a single lighting setting will not be acceptable in all the cases due to various personal preferences. Therefore, this study is intended to identify a novel diagnostic method for developing a visual sensation model as a function of human physiological signals to provide an accurate estimation of individual visual perceptions. The purpose of this research is to investigate the potential use of human pupil sizes and their fluctuations to estimate a human subject's visual sensation for a diagnostic model to evaluate ambient lighting conditions that could detect any stressful condition, such as glare or high luminance, in an office workplace environment. This research included extensive human subject experiments, conducted in an environmental chamber, that collected human physiological signals (i.e, pupil sizes), while the ambient lighting conditions were being changed to coincide with a range of typical office building lighting conditions. For the experiments, a pupilometer was used and a visual comfort and sensation survey method was adopted, with 15 university students participating as the experimental human subjects. The research outcome showed the potential for using pupil sizes and their change rates as quantifiable input variables for diagnosing an individual's visual sensations.
Human Physiological Signal Based Building Environmental Controls for Visual Comfort
People spend more than 90% of their time in buildings in the U.S. ("US Environmental Protection Agency | Report to Congress on Indoor Air Quality” 1989). This significant time length in a daily life naturally strengthens the importance of indoor environmental quality (IEQ), especially in an office environment, where the occupant's work productivity and health are highlighted. Among the IEQ components (thermal, air, lighting, acoustic, and spatial quality), the lighting environmental condition has the most significant effect on an occupant's visual comfort and sensations due to its instantaneous involvement into his/her environmental perceptions. However, depending on an individual's physiological characteristics, the preferred lighting conditions may vary and a single lighting setting will not be acceptable in all the cases due to various personal preferences. Therefore, this study is intended to identify a novel diagnostic method for developing a visual sensation model as a function of human physiological signals to provide an accurate estimation of individual visual perceptions. The purpose of this research is to investigate the potential use of human pupil sizes and their fluctuations to estimate a human subject's visual sensation for a diagnostic model to evaluate ambient lighting conditions that could detect any stressful condition, such as glare or high luminance, in an office workplace environment. This research included extensive human subject experiments, conducted in an environmental chamber, that collected human physiological signals (i.e, pupil sizes), while the ambient lighting conditions were being changed to coincide with a range of typical office building lighting conditions. For the experiments, a pupilometer was used and a visual comfort and sensation survey method was adopted, with 15 university students participating as the experimental human subjects. The research outcome showed the potential for using pupil sizes and their change rates as quantifiable input variables for diagnosing an individual's visual sensations.
Human Physiological Signal Based Building Environmental Controls for Visual Comfort
Choi, Joon-Ho (author) / Zhu, Rui (author)
2014-07-31
doi:10.17831/rep:arcc%y278
ARCC Conference Repository; 2014: Beyond Architecture: New Intersections & Connections | University of Hawai῾i at Manoa
Article (Journal)
Electronic Resource
English
DDC:
690
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