Window views play a vital role in shaping occupant perception, comfort, and well-being, yet their temporal and dynamic qualities remain underexplored in view-out research. Existing studies primarily rely on static representations, overlooking the continuous interplay of movement, daylight variation, and environmental context that define real-world views. This thesis addresses this gap by integrating insights from vision science, environmental psychology, and architectural design to investigate how dynamic views influence human responses. It develops innovative methodologies, including virtual reality (VR) tools and advanced analytical techniques, to represent and evaluate view dynamism comprehensively.

The research examines three key dimensions: movement types, temporal changes in daylight, and environmental contexts. Empirical findings demonstrate that dynamic views significantly enhance visual engagement and occupant satisfaction, with biological motion and daylight variability emerging as particularly influential.

Methodologically, this thesis introduces a VR-based representation framework validated against real-world stimuli, offering immersive and ecologically valid simulations of dynamic views. It also integrates physiological and eye-tracking measures with image processing algorithms to systematically analyze movement types, speeds, and temporal changes, providing robust tools for future research.

The outcomes of this work highlight the importance of incorporating dynamic elements into the design and evaluation of window views, advocating for their integration into occupant-centered architectural practices. By bridging theoretical insights with practical applications, this thesis contributes to the development of spaces that are not only functional but also restorative and enriching, fostering healthier and more satisfying indoor environments.