Distributed vs Single-Point Measurements in Field Studies on Visual Sensation

This work aims to gain understanding of the effect that single point measurements vs distributed measurements have on the accuracy of the prediction model for visual sensation. To this aim, questionnaires on visual sensation were delivered to high school students and contextually measurements of illuminance were performed on the students’ and the teachers’ desks. The position of the students in the classroom was recorded, and groups were identified based on the proximity to the window. Regression analysis was performed to test the accuracy of prediction models based on single-point measurements collected on the teacher’s desk and distributed measurements collected on each desk. The results indicate that, for the case study analyzed, the binning procedure applied both to single-point measurements and to distributed measurement datasets return visual sensation models which are not significantly different.