30 September 2013 Context-aware tunable office lighting application and user response
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Abstract
LED light sources having multiple independently controllable color channels allow tuning of both the intensity and color output. Consequently, highly tailored lighting can be applied according to instantaneous user needs and preferences. Besides improving lighting performance, energy use can also be reduced since the brightest illumination is applied only when necessary. In an example application, low activity or vacant areas of a multi-zone office are lit by low power illumination, including colored light options, which can reduce energy consumption to 20-45% of typical full-time, fullbrightness, office-wide illumination. The availability of color also allows communication functions and additional aesthetic design possibilities. To reduce user burden in frequent switching between various illumination settings, an activity recognition sensor network is used to identify selected office activities. The illumination is then adjusted automatically to satisfy the needs of the occupants. A handheld mobile device provides an interactive interface for gathering user feedback regarding impressions and illumination preferences. The activity-triggered queries collect contemporaneous feedback that reduces reliance on memory; immediate previews of illumination options are also provided. Through mobile queries and post-experience interviews, user feedback was gathered regarding automation, colored lighting, and illumination preferences. Overall reaction was indicated by a range of response words such as fun, stimulating, very cool, very pleasant, enjoyed, good, comfortable, satisfactory, fine, energy saving, interesting, curious, dim, cave, isolated, distracting, and unfamiliar. Positive reaction from a meaningful, though not universal, fraction of users indicates reasonable application potential, particularly as personal preferences and control are accommodated.
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Nancy H. Chen, Nancy H. Chen, Jason Nawyn, Jason Nawyn, Maria Thompson, Maria Thompson, Julie Gibbs, Julie Gibbs, Kent Larson, Kent Larson, } "Context-aware tunable office lighting application and user response", Proc. SPIE 8835, LED-based Illumination Systems, 883507 (30 September 2013); doi: 10.1117/12.2021750; https://doi.org/10.1117/12.2021750
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