Context-based presets for lighting setup in residential space

Area of Science:

• Human-Computer Interaction
• Lighting Design
• Affective Computing

Background:

• Residential lighting often lacks intuitive controls for creating specific atmospheres.
• Understanding the link between household activities, emotional responses, and lighting is crucial for user experience.
• Existing lighting systems may not effectively leverage colored illumination for affective enhancement.

Purpose of the Study:

• To derive context-based lighting setup presets for residential spaces.
• To explore the relationships between household activities, affective states, and lighting parameters (hue, illuminance, purity).
• To develop user-friendly presets for experiencing colored illumination.

Main Methods:

• Evaluated 60 affective words to extract 7 key affect factors.
• Conducted a user study involving 7 affect factors and 30 household activities to assess 147 lighting setups.
• Derived and prototyped 20 context-based lighting presets.

Main Results:

• Successfully derived 20 lighting setup presets that are both activity-based and affect-based.
• Demonstrated the feasibility of using combinations of hue, illuminance, and purity for affective lighting.
• Identified potentials and limitations through a testbed prototyping phase.

Conclusions:

• Intuitive, context-based presets can significantly enhance user exploration of colored illumination.
• The derived presets facilitate diverse user experiences by linking lighting to activities and emotions.
• This approach offers a practical method for designing affective lighting environments in homes.