Validation of an online protocol for assessing the luminous environment

Villa, Céline; Labayrade, Raphaël

doi:10.1177/1477153512450452

Cited by 25 publications

(25 citation statements)

References 26 publications

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“…Then, mean values and 95% confidence intervals (95% CI) were computed and are presented in Figure 2 (left bars LabExp-CtrlPnl, middle bars OnlineExpCtrlPnl). According to findings presented in previous work, 21 LabExp-CtrlPnl conducted with the simulator in a virtual environment, are consistent with previous work (including those carried out in realworld) aiming at identifying the most suitable hybrid ambient/task lighting installations in offices. In addition, no statistical difference between LabExpCtrlPnl and OnlineExp-CtrlPnl was found.…”

Section: Main Results Of Labexp-ctrlpnl and Onlineexp-ctrlpnlsupporting

confidence: 90%

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Psychovisual evaluations of many luminous environments on the internet

Villa

Labayrade

2014

Lighting Research & Technology

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In the process of lighting design, usually many lighting alternatives are assessed against criteria such as energy consumption, lamp type, price and also user preferences collected through psychovisual experiments. However, these experiments induce subject fatigue, which limits the number of lighting alternatives that can be evaluated. To overcome this limitation, we propose a new protocol based on (1) the use of the internet and (2) an incomplete experimental design in which each subject judges only a subset of the whole set of visual stimuli. This protocol is validated by comparing three experiments conducted in the laboratory and online. No statistical difference was highlighted between the results of the experiments. Extrapolations suggest that this protocol could be used to assess up to 3000 visual stimuli.

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Section: Main Results Of Labexp-ctrlpnl and Onlineexp-ctrlpnlsupporting

confidence: 90%

“…Their main results are then highlighted. These experiments are already presented in details in previous work 21 and are summarised in this section for the sake of clarity. Table 2 presents the photometric characteristics of the 26 evaluated stimuli.…”

Section: Psychovisual Experiments With CDmentioning

confidence: 98%

Psychovisual evaluations of many luminous environments on the internet

Villa

Labayrade

2014

Lighting Research & Technology

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“…Mahdavi and Eissa [2002] concluded that the results of the evaluation of non-daylit office spaces in REs were similar to the results obtained by using highquality computer renderings. Villa and Labayrade [2013] compared the results obtained by an online laboratory experiment to evaluate virtual luminous environments to those obtained in a real laboratory experiment. Their findings revealed no differences between the data collected in the laboratory and online.…”

Section: Introductionmentioning

confidence: 97%

“…The difficulty of conducting full-scale experimental studies has been stated by numerous researchers [Newsham et al 2005;Villa and Labayrade 2013]. To conduct rigorous scientific architectural or lighting research in Real Environments (REs) brings a series of challenges even for the most experienced 21:2 • C. Moscoso et al researcher.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Stereoscopic Images as a New Method for Daylighting Studies

Moscoso

Matusiak

Svensson

et al. 2015

ACM Trans. Appl. Percept.

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This article presents the comparison analysis and results of an experiment designed with two presentation modes: real environments and stereoscopic images. The aim of this article is of a methodological nature, with a main objective of analyzing the usability of stereoscopic image presentation as a research tool to evaluate the daylight impact on the perceived architectural quality of small rooms. Twenty-six participants evaluated 12 different stimuli, divided in equal parts between real rooms and stereoscopic images. The stimuli were two similar rooms of different achromatic-colored surfaces (white and black) with three different daylight openings in each room. The participants assessed nine architectural quality attributes on a semantic differential scale. A pragmatic statistical approach (Bland-Altman Approach) for assessing agreement between two methods was used. Results suggest that stereoscopic image presentation is an accurate method to be used when evaluating all nine attributes in the white room and nearly all attributes in the black room.

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“…on the assessment of digital images for lighting quality research. Their study found that significant effects could be identified with 40 subjects despite systematic error due to uncontrolled conditions and the variance in p-value was constant with ≥100 subjects (0.0002) 35 . Where controlled experiments are time-consuming, an online protocol allows for more widely distributed experiments.…”

Section: Existing Experimental Studiesmentioning

confidence: 99%

Contrast measures for predicting perceptual effects of daylight in architectural renderings

Rockcastle

Ámundadóttir

Andersen

2016

Lighting Research & Technology

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Daylit architecture is perceived as a dynamic luminous composition, yet most existing performance metrics were designed to evaluate natural illumination for its ability to adequately illuminate a twodimensional task surface and avoid glare-based discomfort. It may be argued that task-driven approaches based on surface illumination and glare ignore the likelihood that contrast can provide positive impacts on our visual perception of space. Advances in these metrics to accommodate climate-based sky conditions and occupant behavior have improved our ability to evaluate task illumination and glare, yet the same attention has not been paid to evaluating positive perceptual responses to daylight. Existing studies have attempted to link subjective ratings of composition to simple global contrast metrics without reaching consensus. More advanced metrics have been developed in computational graphics and vision fields, but have not been applied to studies in qualitative lighting research. This paper introduces the results from an online experiment where subject ratings of daylight composition are compared to quantitative contrast measures across a series of renderings. This paper will identify which measures correlate to subjects' ratings of visual interest, and introduces a modified contrast algorithm, which can be used as a novel prediction model for visual interest in daylit renderings.

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Validation of an online protocol for assessing the luminous environment

Cited by 25 publications

References 26 publications

Psychovisual evaluations of many luminous environments on the internet

Psychovisual evaluations of many luminous environments on the internet

Analysis of Stereoscopic Images as a New Method for Daylighting Studies

Contrast measures for predicting perceptual effects of daylight in architectural renderings

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