مجتبی پوربخت

Background: Understanding how humans perceive and estimate distances in built environments is critical not only for advancing perceptual psychology but also for informing the design of computational models in computer vision, robotics, and architectural design. Aims: This study investigates the mechanisms and limitations of human distance estimation within a controlled architectural environment. Methodology: While some previous experiments focused on estimating distances in virtual settings, the current study examines real-world estimation accuracy across a series of predefined points within an unobstructed corridor. Participants were asked to visually estimate the distance between their position and seven distinct target locations, ranging from near to far without the aid of physical reference cues. The core objective was not simply to measure accuracy, but to identify the perceptual threshold beyond which estimation errors significantly increase. A one-way ANOVA model was employed to assess the influence of variables such as actual distance and participant age on perceptual accuracy. Results: Results revealed a consistent estimation performance up to approximately 2 m, beyond which the margin of error grew increasingly pronounced. Notably, a critical threshold was identified at 7.476 m, where estimation errors sharply escalated. The maximum observed discrepancy occurred at a distance of 10.186 m, suggesting a cognitive boundary in spatial awareness. Conclusion: These findings contribute to the understanding of visual-spatial perception mechanisms and offer theoretical insights relevant to applications in robotics, image processing, virtual reality, and navigation system design.

Background: Understanding color preference in virtual environments is crucial for applications in digital design, human-computer interaction, and virtual reality (VR).Aims: This study examines how luminance, hue, and saturation influence color preference in VR settings, considering both environmental and perceptual factors.Methodology: A controlled VR experiment was used, where participants interacted with two distinct virtual zones designed to simulate different lighting conditions.Finding: The findings suggest that chromatic lightness and perceived hue play distinct roles in color preference, with evidence supporting Weber's Law of illumination adaptation. It was also shown that regions with elevated chroma exhibit more pronounced colors. Additionally, the participants' average color preferences were determined, and the appropriate modification rate was extracted by comparing the preferred colors to the average colors of the virtual spaces. One significant finding was that, cooler colors were favored to warmer ones, which is consistent with previous research on color preferences. Furthermore, a correlation between lighting circumstances and color preferences was established.Conclusion: The findings indicated that adjusting the hue, saturation, and brightness can improve the design of virtual environments by matching the tastes of users. These insights contribute to a deeper understanding of color perception in digital spaces and have implications for design, architecture, and cognitive science.