Understanding how movement and temporal change shape view-out perception is essential for designing spaces that enhance visual comfort, engagement, and well-being. Traditional assessments of view quality often rely on static images, yet real-world scenes are inherently dynamic—marked by moving elements, environmental fluctuations, and shifting sky conditions. Building on established methodologies, we conducted two controlled virtual reality (VR) experiments to investigate how dynamic content influences perception. The first experiment examined how scene format—static images versus dynamic videos—affects perceived view quality. Participants experienced fifteen different scenes in both formats, allowing us to compare the impact of passive environmental motions (e.g., wind in vegetation) and agentive motions (e.g., pedestrians, vehicles) on visual engagement, preference, and physiological responses. The second experiment focused more narrowly on sky dynamics, isolating the role of luminance transitions and cloud variations by excluding agentive movement. Ten real-world window views were recorded under clear and overcast conditions and presented as real-time VR videos, ensuring a realistic depiction of cloud fluctuations without artificial rendering. Both studies collected subjective and objective data. Participants provided questionnaire-based feedback, reporting impressions of the scenes and any physical symptoms to monitor potential VR side effects. In parallel, eye-tracking and biometric measures captured physiological responses, enabling a comprehensive understanding of how dynamic visual stimuli shape human perception.