Thanks to evolution, humans are adapted to the sun's course and thus to the light's changing brightness and color temperature. Due to industrialization, every person's daily routine has a different sequence and is no longer synchronized with sunrise and sunset. Furthermore, the psychological state of a person changes over the course of the day. In this research group, the focus is on the dynamic adaptation of light to the individual psychological state and the environment affecting the person in order to select an optimal light. The light setting will thus change with the psychological state, time, and environment.
Light fulfills several main tasks: It should make it possible to see and to optimally perceive the environment. Light can have a physiological and psychological effect on people and change work performance and mood. Lighting adapted to the current state of the person contributes to better well-being, mood, and performance. The research questions that arise from this include which parameters from the environment and the state of mind influence people. Can users be divided into light preference groups? Which light spectra are at least necessary to get this classification? What are the most important environmental parameters that contribute to psychological light preference? How can dynamic control, adapted to the environment and person, take place? How quickly / how often should a light change be made?
With these research questions, a dynamic light preference model based on psychology and environmental conditions is derived. This model should select the optimal light for people in various activities such as working on the computer, on paper, or in meetings. Thus, the visual task and perception of the environment, as well as the mood and emotion, can be positively influenced.
Current research encompass:
- Networking of 14 locations in Germany and evaluation of the sensor data
- Relationship between light preference and psychological state
- User and user preference clustering
- Recommender system for light preference evaluation