## 4 Discussion  
This follow-up study, conducted in June, is the second validation test of the EBD-SIM framework to provide new evidence to obtain better insights about the lit environment, specifically concerning visual comfort in office rooms. The effects of a larger sample size and having two POE studies in two different seasons (October, June) were investigated to find out if previous findings are confirmed (research questions 1 and 2), and to elucidate the usefulness of having two continuous POE studies for better analysis of visual comfort in office environments (research question 3). The results are categorized into two groups: within-subject study and between-subject study. The main purpose of conducting a between-subject study in June with a larger sample (\(N=46\)) was to verify previous findings in October (\(N=15\)) and provide new or updated evidence for the EBD-SIM framework. Comparison between the two measurement moments showed similarities as well as differences. The correlation analysis of subjective variables for both studies shows a'strong' to'very strong' degree of correlations for all annual and momentary variables except daylight (A-Natural vs. Natural), for which a correlation was not found in October. These strong to very strong correlations can be interpreted in that it is difficult for people to remember a lighting situation throughout the year, and the current situation dominates their feeling regarding the lit environment. Additionally, for daylight (A-Natural vs. Natural), it seems that occupants can better distinguish the difference between annual and momentary situations during dark seasons. From a subjective point of view, for all variables, it was consistently observed that the overall lighting quality perceived by the occupants had the highest correlation with the amount of light on the task area. While in October, the assessment of 'light quality at the task area' seemed to only be linked to the 'amount and quality' of artificial lighting, in June, in addition to artificial lighting, a strong correlation was found with 'Natural light' and 'Glare sun'. Regarding the first question related to the correlation between visual comfort metrics and perceived occupant visual comfort, similar to the results obtained in October, the results confirm the previous finding that point-in-time-horizontal illuminance had the highest correlation with perceived visual comfort by occupants. Moreover, in the larger study (June), annual performance metrics showed some degrees of correlation. This means that it is worth calculating sDA, DA, and ASE to provide a moderate forecast on occupant perception of lit environments, especially for 'Light desk', 'Light quality', and 'Natural'. This analysis is in agreement with other studies, e.g., [15; 24]. Since the results of vertical eye illuminance (E\({}_{\text{v}}\)) and DGP are sensitive to the point of view of the occupants [25], the calculation of data specifically for the occupants' position and viewpoint improves the accuracy of the data. Regarding the second question related to instantaneous and annual visual comfort perception and simulated comfort assessment metrics, it was found that for the large sample in June, all correlations of the subjective variables for the moment situation were stronger than the equivalent annual situation. Additionally, E\({}_{\text{h}}\), which measures the instantaneous situation, showed the highest number of correlations with perceived variables compared to the annual performance metrics. This could be interpreted in that human visual comfort perception for instantaneous situations and modeled comfort performance metrics have a higher agreement than human perception for annual estimations and modeled performance. In the future, POEs can be integrated into, e.g., (artificially) intelligent building control systems, providing direct feedback to the control agent so that each occupant is provided with their preferred lighting and, in a broader sense, with other desired IEQ conditions.