Living Interactive Design: Towards Architectural Environments Responsive To User Biodata

Abstract

In the modern era, technological advancements are progressing rapidly, leading to the emergence of a new concept in architectural design known as "Living Interactive Design." This approach aims to create intelligent and flexible architectural environments that respond directly to user data, thereby providing personalized experiences that enhance comfort and address individual needs. Living Interactive Design relies on collecting vital user data—such as heart rate, temperature, movement, and other environmental signals—and transforming this information into immediate environmental responses. For example, a building might adjust the lighting, temperature, or even music based on the user’s mood or activity. This paradigm represents a significant step toward developing smarter and more adaptable architectural environments, which continuously interact with users in real-time. It contributes to improving quality of life, increasing efficiency, and fostering human-environment interaction. Additionally, such designs facilitate energy consumption reduction and promote environmental sustainability through automatic adaptation to environmental conditions and changes in space usage. In summary, research in the field of Living Interactive Design seeks to offer innovative solutions that integrate technology and architecture, creating architectural environments that respond in a simple yet effective manner to user data. These environments aim to provide more personalized and flexible living experiences. This trend reflects a forward-looking vision based on ongoing, dynamic interaction between humans and their surrounding environment, opening new horizons toward more intelligent and sustainable architectural design.This study aims to explore and develop the concept of live interactive design for architectural environments that respond dynamically and instantly to users' vital data. To achieve this, an integrated methodology has been adopted, combining a review of scientific literature with the analysis of applied case studies, with the goal of building a comprehensive theoretical and practical framework that contributes to the development of design models based on live data.