This paper introduces a novel approach for the assessment of daylight performance in buildings, venturing beyond existing methods that evaluate 2-dimensional illumination and comfort within a fixed field-of-view in order to predict human responses to light concerning non-visual health potential, visual interest, and gaze behavior in a visually immersive scene. Using a 3D rendered indoor environment to exemplify this coordinated approach, the authors assess an architectural space across a range of view directions to predict non-visual health potential, perceptual visual interest, and gaze behavior at the eye level of an occupant across an immersive field-of-view. This method allows the authors to explore and demonstrate the impact of space, time, and sky condition on three novel daylight performance models developed to predict the effects of ocular light exposure using a humancentric approach. Results for each model will be presented in parallel and then compared to discuss the need for a multi-criteria assessment of daylight-driven human responses in architecture. A parallel and comparative approach can allow the designer to adapt the architectural space based on the program use and occupants needs.

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.

The discovery of a novel non-rod, non-cone photoreceptor in the mammalian eye that mediates a range of 'non-visual' responses to light has required reexamination of how lighting needs for human health are characterized and evaluated. Existing literature provides useful information about how to quantify non-visual spectral sensitivities to light but the optimal approach is far from decided. As more is learned about the underlying biology, new approaches will continue to be published. What is currently lacking is a flexible framework to describe the non-visual spectral effectiveness of light using a common language. Without a unified description of quantities and units, much of the value of scientific publications can be lost. In this paper, we review the existing approaches by categorizing the proposed quantities depending on their application. Based on this review, a unified framework is provided for use in evaluating and reporting the spectral effectiveness of light for human health. The unified framework will provide greater flexibility to model the non-visual responses to light and is adaptable to a wide range of lighting solutions of interest for researchers, designers and developers. A new visualization tool, the SpeKtro dashboard, is available to explore the unified framework on-line at spektro.epfl.ch.

Human circadian, neuroendocrine, and neurobehavioral responses to light are mediated primarily by melanopsin-containing intrinsically-photosensitive retinal ganglion cells (ipRGCs) but they also receive input from visual photoreceptors. Relative photoreceptor contributions are irradiance- and duration-dependent but results for long-duration light exposures are limited. We constructed irradiance-response curves and action spectra for melatonin suppression and circadian resetting responses in participants exposed to 6.5-h monochromatic 420, 460, 480, 507, 555, or 620 nm light exposures initiated near the onset of nocturnal melatonin secretion. Melatonin suppression and phase resetting action spectra were best fit by a single-opsin template with lambda max at 481 and 483 nm, respectively. Linear combinations of melanopsin (ipRGC), short-wavelength (S) cone, and combined long- and medium-wavelength (L+M) cone functions were also fit and compared. For melatonin suppression, lambda max was 441 nm in the first quarter of the 6.5-h exposure with a second peak at 550 nm, suggesting strong initial S and L+M cone contribution. This contribution decayed over time; lambda max was 485 nm in the final quarter of light exposure, consistent with a predominant melanopsin contribution. Similarly, for circadian resetting, lambda max ranged from 445 nm (all three functions) to 487 nm (L+M-cone and melanopsin functions only), suggesting significant S-cone contribution, consistent with recent model findings that the first few minutes of a light exposure drive the majority of the phase resetting response. These findings suggest a possible initial strong cone contribution in driving melatonin suppression and phase resetting, followed by a dominant melanopsin contribution over longer duration light exposures.

No abstract

La conf�ence BS 2013 sera organis� �chamb�y par IBPSA world. Retrouvez les informations principales et suivez les actualit� de la conf�ence sur le site www.bs2013.fr
Les r�um� doivent �re soumis pour le 15 septembre 2012.
T��hargez la plaquette de la conf�ence :

{jd_file file==151}

No abstract

Introduction Improving disease awareness and treatment adherence is key for the long-term management of atopic dermatitis (AD). Digital interventions can support patients in disease self-management and adopting a healthier lifestyle through behavioral modifications. We aimed to test the clinical efficacy of a digital program in patients with AD. Methods Adults with mild-to-severe AD were recruited for a 6-week feasibility study. The intervention was delivered through a mobile app and consisted of symptom and trigger education, treatment reminders, lifestyle coaching, and healthy lifestyle support. Here we report the secondary outcomes of intervention efficacy on clinical symptoms, as assessed by Scoring Atopic Dermatitis (SCORAD) and Patient-Oriented Eczema Measure (POEM), on health-related quality of life (HR QoL) as assessed by Dermatology Life Quality Index (DLQI), and changes in behaviors related to disease management as assessed by a six-item questionnaire. Results Twenty of 21 patients (95.2%) completed the program (81% female, mean age 31.4 years, mean time from diagnosis 26.8 years). Clinical symptoms and patient-reported global severity improved by 44% and 46%, respectively, while HR QoL improved by 41% ( p < 0.001 for all measures). Adherence to treatments and preventive measures improved from pre- to post-intervention, including skincare, avoidance of triggers, and disease-related knowledge. A significant interaction was observed between increased treatment adherence and clinical improvement, such that larger clinical improvements were observed in patients with higher treatment adherence. Conclusion Patients with AD are open to and can benefit from a digitally delivered targeted intervention, as demonstrated by significant improvements in treatment adherence and related clinical outcomes. Supplementary Information The online version contains supplementary material available at 10.1007/s13555-022-00821-y.