Authors - Telmo Sampaio, Pedro Filipe Oliveira, Paulo Matos Abstract - This paper proposes the implementation and evaluation of an intelligent environment system designed to enhance the management of comfort preferences in a residence setting on campus. With the growing importance of personalized comfort in shared living spaces, the integration of smart technologies offers promising solutions to meet individual needs while optimizing energy efficiency. Leveraging sensors, actuators, and machine learning algorithms, the proposed system aims to dynamically adapt environmental conditions such as temperature, lighting, and ventilation based on occupants’ preferences. Through a combination of user-centric design, data analytics, and automation, the intelligent environment offers a seamless and intuitive interface for residents to interact with and customize their living environment. Furthermore, the paper discusses the practical challenges and opportunities associated with deploying such a system in a campus residence, including privacy concerns, user acceptance, and scalability. The effectiveness of the proposed solution is evaluated through energy consumption analysis, and feedback mechanisms, highlighting its potential to enhance comfort, well-being, and sustainability in residential settings. Ultimately, this research contributes to the advancement of smart living technologies and informs the design of future intelligent environments tailored to the needs of campus residences and similar shared living spaces.
Open Zoom
