Quantification of Spaciousness of Interiors Considering Lighting and Visual Environment (Part 2): Calculation Model for Spaciousness in Rooms Without Openings Using Average Luminance and "Dark-Part-Reduced Visible Volume”

Miyake, H.; Yamamoto, Tatsuya; Yamaguchi, Hideki; Yoshizawa, Nozomu

doi:10.3130/aije.87.62

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…In experiments conducted in previous studies 3,4) , we found a tendency that the evaluation values vary widely among subjects when the reference condition was far different from the comparative condition in volume. Evaluating spaciousness of various volumes, it was necessary to establish the applicable range of volume for comparative conditions when compared with the reference condition.…”

Section: Improvement Of Experimental Proceduresmentioning

confidence: 68%

“…A1 and A9, B1 and B3 were similar conditions, whereas A1 and B1 had roll screens in front of the windows. They were included in this experiment for comparison with the results in the previous studies 3,4) . To calculate average luminance and DRV, we obtained luminance and distance information from the view position.…”

Section: Subjective Experiments In Rooms With Windowsmentioning

confidence: 99%

“…In previous research, Inui et al 1,2) revealed from subjective experiments that lighting environment has significant effect on perceived spaciousness and the effect can be estimated from average work plane illuminance, the volume of a room and the configuration factor of windows. Miyake et al 3,4) improved the predictability of the model by using average luminance instead of average work plane illuminance IOP Publishing doi:10.1088/1755-1315/1099/1/012002 2 and "dark-part-reduced visible volume" (hereinafter called "DRV", refer to figure 2 for details) instead of the volume of a room, but the scope of this model was limited to spaces without windows.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

“…Miyake et al 3,4) conducted subjective experiments in rooms without windows with the magnitude estimation (ME) method to quantify spaciousness of various spaces. They revealed that the effect of the lighting environment on spaciousness can be calculated with average luminance and "dark-part-reduced visible volume" (DRV)".…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Calculation model of spaciousness in rooms with windows-Experimental procedure for spaciousness evaluation using VR-

Nishihara

OKADA

Miyake³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Spaciousness is an important psychophysical value of space which has impacts on building occupants’ satisfaction and wellness. Previous research revealed through subjective experiments in spaces without windows that spaciousness is affected not only by the physical volume of space but also by lighting environment, and the effect can be estimated with a calculation model with average luminance and “dark-part-reduced visible volume”. The purpose of this study is to expand the scope of the calculation model to spaces with windows through subjective experiment, and for that, to improve the experimental procedure for steady comparison of various spaces in size avoiding stimulus range bias. We determined “typical standard conditions” as three sizes of simple rectangular spaces with uniform general lighting to cover experiments which use comparative condition spaces in visible volume of 10m3-2490m3. These are created with Virtual Reality to enable subjects to compare spaces apart from each other in reality, and to reduce the cost of preparing various spaces. We conducted a subjective experiment with this improved procedure in a room with windows and revealed that the accuracy of calculation model can be improved by additionally considering configuration factors of windows and applying different weighting factors to the volume corresponding to the windows.

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Section: Improvement Of Experimental Proceduresmentioning

confidence: 68%

Section: Subjective Experiments In Rooms With Windowsmentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Calculation model of spaciousness in rooms with windows-Experimental procedure for spaciousness evaluation using VR-

Nishihara

OKADA

Miyake³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Quantification of Spaciousness of Inteirors Considering Lighting and Visual Environment (Part 3): Method to Integrate Prediction Equation Formula for Spaciousness of Closed Interior Spaces by Comparing Different Experiments

Miyake¹,

OKADA

Yamamoto³

et al. 2022

Nihon Kenchiku Gakkai Kankyokei Ronbunshu

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Spaciousness is affected by lighting environment, and the calculation model with average luminance and "dark-part-reduced visible volume" is derived in the part 2 of this report. However, the reference condition of each experiment was respective and different, and the slopes of the formula were also different by experiments. In this part 3, by comparing the reference conditions of these past experiments, in real space or VR, all the conditions in different experiments were compared directly or indirectly and integrated into one spaciousness prediction function for closed interior space with the data in 3D luminance mapping.

show abstract

Quantification of Spaciousness of Interiors Considering Lighting and Visual Environment (Part 2): Calculation Model for Spaciousness in Rooms Without Openings Using Average Luminance and "Dark-Part-Reduced Visible Volume”

Cited by 2 publications

References 8 publications

Calculation model of spaciousness in rooms with windows-Experimental procedure for spaciousness evaluation using VR-

Calculation model of spaciousness in rooms with windows-Experimental procedure for spaciousness evaluation using VR-

Quantification of Spaciousness of Inteirors Considering Lighting and Visual Environment (Part 3): Method to Integrate Prediction Equation Formula for Spaciousness of Closed Interior Spaces by Comparing Different Experiments

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