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Impacts of Dynamic LED Lighting on the Well-Being and Experience of Office Occupants

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  • Rongpeng Zhang

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Carolina Campanella

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Sara Aristizabal

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Anja Jamrozik

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Jie Zhao

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Paige Porter

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Shaun Ly

    (Well Living Lab, Rochester, MN 55902, USA
    Delos Labs, Delos Living, New York, NY 10014, USA
    Mayo Clinic, Rochester, MN 55902, USA)

  • Brent A. Bauer

    (Well Living Lab, Rochester, MN 55902, USA
    Mayo Clinic, Rochester, MN 55902, USA)

Abstract

As a critical factor in the built environment, lighting presents considerable influence on occupants. Previous research across static lighting conditions has found that both illuminance and correlated color temperature (CCT) affect occupants’ physiological and psychological functioning. However, little research has been conducted on the non-visual impacts of dynamic lighting with daily variation in illuminance and CCT levels. The purpose of this study is to better understand the impact of dynamic lighting on office occupants’ health, well-being and experience at a living lab. Fifteen participants were recruited to work in three office modules for four months. Four lighting conditions were designed and implemented in this study, including two static lighting conditions and two dynamic lighting conditions with a specific predefined control scheme. A prototype lighting system with enhanced control capabilities was configured and implemented to ensure the desired lighting environment protocol. Both objective methods and subjective surveys were used to assess the behavioral and physiological outcomes of interest, including mental stress, sleep, productivity, satisfaction, mood, visual comfort and perceived naturalness. The results showed that the daytime behavioral impacts were either positive or mixed. Specifically, a significant alertness increase was observed in the afternoon, indicating a potential solution to reduce the natural feelings of sleepiness during the workday. There was also a marginal benefit for mood. The nighttime impacts include a significant decrease in perceived sleep quality and sleep time after subjects were exposed to dynamic lighting. No significant differences were observed for mental stress, productivity, visual comfort, or perceived naturalness. The findings present additional insights into the non-visual impacts of dynamic lighting and give recommendations for further investigations.

Suggested Citation

  • Rongpeng Zhang & Carolina Campanella & Sara Aristizabal & Anja Jamrozik & Jie Zhao & Paige Porter & Shaun Ly & Brent A. Bauer, 2020. "Impacts of Dynamic LED Lighting on the Well-Being and Experience of Office Occupants," IJERPH, MDPI, vol. 17(19), pages 1-27, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7217-:d:422992
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    References listed on IDEAS

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    1. Dennis M. Dacey & Hsi-Wen Liao & Beth B. Peterson & Farrel R. Robinson & Vivianne C. Smith & Joel Pokorny & King-Wai Yau & Paul D. Gamlin, 2005. "Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN," Nature, Nature, vol. 433(7027), pages 749-754, February.
    2. Michael S. Mott & Daniel H. Robinson & Ashley Walden & Jodie Burnette & Angela S. Rutherford, 2012. "Illuminating the Effects of Dynamic Lighting on Student Learning," SAGE Open, , vol. 2(2), pages 21582440124, May.
    3. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    4. Fox, John, 2003. "Effect Displays in R for Generalised Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i15).
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    1. Ao Jiang & Xiang Yao & Stephen Westland & Caroline Hemingray & Bernard Foing & Jing Lin, 2022. "The Effect of Correlated Colour Temperature on Physiological, Emotional and Subjective Satisfaction in the Hygiene Area of a Space Station," IJERPH, MDPI, vol. 19(15), pages 1-14, July.
    2. Ghada Abdulrahman Najjar & Khaled Akkad & Ahdab Hashim Almahdaly, 2023. "Classification of Lighting Design Aspects in Relation to Employees’ Productivity in Saudi Arabia," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    3. Chi-Jui Tsai & Wen-Jye Shyr, 2022. "Key Factors for Evaluating Visual Perception Responses to Social Media Video Communication," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    4. Ružena Králiková & Laura Džuňová & Ervin Lumnitzer & Miriama Piňosová, 2022. "Simulation of Artificial Lighting Using Leading Software to Evaluate Lighting Conditions in the Absence of Daylight in a University Classroom," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    5. Heangwoo Lee, 2020. "A Basic Study on the Performance Evaluation of a Movable Light Shelf with a Rolling Reflector That Can Change Reflectivity to Improve the Visual Environment," IJERPH, MDPI, vol. 17(22), pages 1-19, November.

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