Incorporating human factors in adaptive lighting systems using a dynamic human-object interface

Although adaptive solid-state lighting systems minimize energy consumption, current systems lack human factor design necessary for optimizing user interaction. A series of studies observing adaptive lighting usability found that despite greater user control, occupants were less likely to interact with their lighting environment leading to workplace luminance levels signicantly below recommended standards limiting user task performance and safety [7, 14]. This study discusses improvements in lighting system usability using a vision-based system with light invariant color-tracking. We introduce the interaction method of transferrable control onto physical artifacts which uses the natural relationships between users and their object environments to facilitate changes within a digital system. Furthermore, a new luminance mapping with the CIELAB color space is proposed to model perceived brightness while energy output is minimized using a previously developed closed loop linear optimization protocol [1].