We will be presenting the results obtained for 60 subjects that have participated in a virtual reality immersion of 12 urban squares. The urban squares are located in two of the densest neighbourhoods in the city of Brussels - St. Gilles and Molenbeek. 360° images and videos were captured for each square, and mapped on a virtual sphere surrounding the participant. For each urban square, the green view index was computed using semantic image classification, and based on the obtained green view index values, the images were organized in two blocks: green >35% and non-green <20%. Virtual reality, eye-tracking technologies, biometric sensing for heart rate variability, and participant questionnaires have been combined, to evaluate the psychological and physiological stress level reduction capacity of urban green infrastructure. The preliminary results show that for the eye-tracking data significant differences are observed between green and non-green blocks. Fixation counts decreased in the green image block, which is an indicator of stress reduction. The perceived restorativeness scale questionnaire also reported highly significant differences with higher global scores for the green image block. The study will also be analyzing the differences on the results between the participants that experience 360° images vs the participants that have experienced 360° videos that also included the audios recorded on site.
Llaguno, M., Edwards, M., Grade, S., Vander Meulen, M., Letesson, C., Agudo Sierra, E., Altomonte, S., Lacroix, E., Bogosian, B., Mun, K., & Macagno, E. (2022). 360° image and video urban scene immersions to evaluate the role of urban green infrastructure in stress level reduction. AUM2022, Cambridge University - Martin Centre: Sustainable buildings and cities. https://hdl.handle.net/2078.5/230369