Heating in human-HVAC interaction for smart homes: An interdisciplinary overview
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Abstract (arXiv)
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather. However, research on how residents interact with HVAC systems, particularly heating systems, remains fragmented across architecture, engineering, informatics, physiology, psychology, sociology, and design. Based on 541 studies from these fields, this review integrates interdisciplinary research on Heating in Human-HVAC Interaction in smart homes.The resulting synthesis is conceptualized through the Situated Interaction Dynamics of control and feedback between users and systems. User-initiated interactions involve monitoring past and present system performance and planning future operation, while system-initiated interactions rely on sensor networks to trigger automation or provide information enabling user action. These interaction dynamics connect Residents' Experience and Practices with Heating in HVAC System Mechanics. Residents' Experience and Practices include thermal comfort and energy management, where thermal comfort involves both individual physiological and psychological experiences of indoor climate and social practices shaped by norms, empathy, and negotiation among cohabitants. Heating in HVAC System Mechanics includes thermal conditions and energy performance. Thermal conditions concern the regulation of air temperature, mean radiant temperature, air velocity, and relative humidity, while energy performance concerns efficiency and environmental impact. This overview highlights four interdisciplinary tensions: sensed versus lived conditions, personalization versus negotiation, efficiency versus health, and automation versus agency. The resulting framework offers a conceptual lens to interpret heating interactions and design Human-HVAC Interaction that balances IEQ-driven healthy thermal conditions, affordability, and sustainability.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 6 of its 365 references that are in the map. First posted on arXiv 20 Sep 2026.
Builds on
6 of 365 references.
References · 6
- 2024Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Controlcited by 4
- 2022Machine Learning for Smart and Energy-Efficient Buildingscited by 1
- 2025Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learningcited by 1
- 2025Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiencycited by 1
- 2025Public EV Charging Choices: How Users Trade Off Time, Price, and Renewable Energycited by 1
- 2026Designing for Healthy, Affordable, and Sustainable Human-HVAC Interactions for Heating in Smart Homescited by 1
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