This paper presents a novel approach to assessing human lighting adjustment behavior and preference in diverse lighting conditions through the evaluation of emotional feedback and behavioral data using VR. Participants (n= 27) were exposed to different lighting (n=17) conditions with different levels of illuminance and correlated color temperature (CCT) with a randomized order in a virtual office environment. Results from this study significantly advanced our understanding of preferred lighting conditions in virtual reality environments, influenced by a variety of factors such as illuminance, color temperature, order of presentation, and participant demographics. Through a comprehensive analysis of user adjustment profiles, we obtained insightful data that can guide the optimization of lighting design across various settings.

翻译：本文提出了一种创新方法，通过虚拟现实技术评估情绪反馈与行为数据，研究不同照明条件下的人体照明调节行为与偏好。27名参与者（n=27）在虚拟办公室环境中，以随机顺序暴露于17种不同照度与相关色温（CCT）组合的照明条件。研究结果显著深化了我们对虚拟现实环境中偏好照明条件的理解，揭示了照度、色温、呈现顺序及参与者人口统计学特征等多重因素的影响机制。通过对用户调节模式的综合分析，我们获得了可指导多场景照明设计优化的启发性数据。