Lighting preference profiles of users in an open office environment

Despenic, Marija; Chraibi, S Senna; Lashina, Tatiana; Rosemann, Alp Alexander

doi:10.1016/j.buildenv.2017.01.033

Cited by 61 publications

(30 citation statements)

References 23 publications

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“…During the experiments, participants were alone in the office space; this single-occupancy scenario can serve as a basis for scenarios where more workers are simultaneously present. The presence of coworkers might affect participants' choices; submissive users might choose a setting that satisfies other workers to avoid conflicts (Despenic et al 2017).…”

Section: Methodsmentioning

confidence: 99%

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Bakker

Aarts

Kort

et al. 2019

LEUKOS

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Dynamic lighting is one of the new trends in lighting research; providing the right lighting level at the right time could possibly increase the alertness and performance of office workers. However, they might have preferences that deviate from this "healthy" lighting. Simultaneously, the building environment becomes increasingly automated, with occupancy-based control as one of the most well-known examples to reduce offices' lighting energy consumption. Nevertheless, preferences for lighting levels in the unoccupied area of the multi-occupant office space have not been addressed yet. Therefore, we studied luminance distribution preferences in relation to time of day and subjective alertness (SA) in a single occupancy scenario. Participants (N = 30) set the surrounding and background lighting six times a day as we first probed for SA. Our results clearly showed that a subset preferred varying luminance distributions; participants had fluctuating feelings of alertness, too. Preferences deviated sometimes from the typical dynamic lighting scenarios, suggesting that they do not always prefer healthy lighting. Moreover, we identified an effect of SA on the preferences, both with and without controlling for time of day. Hence, this study showed that we need to address these two factors when we want to provide satisfactory lighting conditions in case the office is not fully occupied. These are likely to affect other lighting preferences and therefore deserve more attention from research. Because we identified large individual differences, we suggest personalizing dynamic scenarios as the focus of future research.

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Section: Methodsmentioning

confidence: 99%

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Bakker

Aarts

Kort

et al. 2019

LEUKOS

Self Cite

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“…Several methods have been developed to learn lighting preferences of occupants. The methods primarily rely on the measurements from lighting sensors, user feedback and use of control options where available (Oi and Takahashi, 2007;Despenic et al, 2017;Sadeghi et al, 2018), using algorithms, such as k-means clustering (Despenic et al, 2017) and Bayesian classification (Oi and Takahashi, 2007;Sadeghi et al, 2018) to learn user preferences. Task-specific lighting can be used to promote productivity in the short term (Juslén et al, 2007), and lighting that is close to the natural light cycle can be used to reduce the negative impacts on the circadian rhythm (Pauley, 2004;Rea and Figueiro, 2018).…”

Section: Visual Conditionsmentioning

confidence: 99%

Smart Desks to Promote Comfort, Health, and Productivity in Offices: A Vision for Future Workplaces

Aryal

Becerik-Gerber

Anselmo

et al. 2019

Front. Built Environ.

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People spend most of their day in buildings, and a large portion of the energy in buildings is used to control the indoor environment for creating acceptable conditions for occupants. However, the majority of the building systems are controlled based on a "one size fits all" scheme which cannot account for individual occupant preferences. This leads to discomfort, low satisfaction and negative impacts on occupants' productivity, health and well-being. In this paper, we describe our vision of how recent advances in Internet of Things (IoT) and machine learning can be used to add intelligence to an office desk to personalize the environment around the user. The smart desk can learn individual user preferences for the indoor environment, personalize the environment based on user preferences and act as an intelligent support system for improving user comfort, health and productivity. We briefly describe the recent advances made in different domains that can be leveraged to enhance occupant experience in buildings and describe the overall framework for the smart desk. We conclude the paper with a discussion of possible avenues for further research.

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“…Percepção e preferências de humanos quanto à iluminação ambiental para a obtenção de conforto visual variam conforme as características da fonte luminosa. Tais impressões, por sua vez, podem ser influenciadas por características individuais como a idade (ZHONG et al, 2017), o sexo (CHELLAPPA et al, 2017) e a personalidade (DESPENIC et al, 2017).…”

Section: Introductionunclassified

Estudo correlacional entre configurações de iluminação ambiental versus percepção lumínica e térmica em câmara climática

Tamura

Krüger

2018

Ambient. constr.

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Resumo Interações ser humano e ambiente construído são mediadas por estímulos fisiológicos e psicológicos, que podem interferir na percepção de variáveis de conforto. Neste contexto, avaliou-se o grau de correlação entre diferentes configurações de iluminação ambiente e variáveis subjetivas de percepção térmica e de iluminação. Realizaram-se testes em câmara climática giratória, localizada em Karlsruhe, Alemanha (49ºN, 8,5ºE). 16 indivíduos permaneceram sob condições térmicas controladas (PMV±0,5) ao longo de 5 h (8h00 às 13h00 - horário local) por três estações do ano de 2015, totalizando nove dias de coleta por indivíduo, com 36 dias de experimentos no total. Levantaram-se variáveis objetivas com espectrorradiômetros e confortímetros. A percepção subjetiva das características de iluminação e de conforto térmico foi levantada por questionários. Correlacionaram-se estatisticamente (Spearman, rs) dados subjetivos com dados objetivos ambientais: iluminância (E - lux), temperatura de cor aparente (TCC - K), comprimento de onda dominante (DWl - nm) e fator de ação circadiano (acv) para a amostra total e para o grupo dos indivíduos com cronotipo indiferente (n=11). Observaram-se correlações significativas apenas entre a percepção de temperatura e as variáveis ambientais em situações com menor disponibilidade de luz natural (inverno, fachada não equatorial) para os dois grupos avaliados, sendo as correlações maiores para o grupo cronotipo indiferente.

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Lighting preference profiles of users in an open office environment

Cited by 61 publications

References 23 publications

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Smart Desks to Promote Comfort, Health, and Productivity in Offices: A Vision for Future Workplaces

Estudo correlacional entre configurações de iluminação ambiental versus percepção lumínica e térmica em câmara climática

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