Indoor comfort measurement and User-Centered Dashboard for real world residential applications: A Comfort-as-a-Service Framework
Year: 2026
Type: conference-paper
Abstract: Measurement and tracking of personalized indoor comfort is challenging, yet important task to achieve. Fulfilling this pushes the steps toward more sustainable indoor environments that guarantee comfort while saving energy. This paper presents a Comfort-as-a-Service (CaaS) framework that integrates indoor comfort measurement with a user-centered dashboard for real-world residential applications. Despite advances in sensing technologies and data analytics, a gap remains between data availability and effective user engagement. The proposed approach addresses this issue by transforming environmental, energy, and comfort data into intuitive visualizations and personalized recommendations. The framework combines internal environment monitoring, data processing, and comfort assessment within a user-centered interface designed to support awareness and decision-making. The system is applied to a real residential case study, where indoor environmental and energy data are continuously collected and integrated into the dashboard. The recommendation module supports the detection of discomfort events and suggests targeted actions, enabling a shift from passive monitoring to active comfort management.
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204183888