Application of immersive virtual environments for longitudinal data collection: A pilot study
Document Type
Conference Proceeding
Publication Date
1-1-2018
Abstract
Occupant behavior data is an important factor to advance more accurate building energy simulations. To date, this type of data has been mainly collected using the field (in-situ) observations or chamber experiments. However, occupancy data is more uniquely relevant to the context from which the data has been collected. Furthermore, in-situ observations are rather expensive and lengthy. With that said, this study proposes the use of immersive virtual environment (IVE) to collect occupant behavior data over a relatively shorter period of time. However, since longitudinal observations are not practically possible in IVEs, a spatial-temporal event-driven (STED) model, which coherently connects a series of critical events, will be used. To test this model, a pilot study employing sensors will be carried out, whereby the authors will compare the participant's behavior in the use of window-blinds in IVE.
Publication Source (Journal or Book title)
Construction Research Congress 2018: Sustainable Design and Construction and Education - Selected Papers from the Construction Research Congress 2018
First Page
208
Last Page
215
Recommended Citation
Saeidi, S., Zhu, Y., & Chokwitthaya, C. (2018). Application of immersive virtual environments for longitudinal data collection: A pilot study. Construction Research Congress 2018: Sustainable Design and Construction and Education - Selected Papers from the Construction Research Congress 2018, 2018-April, 208-215. https://doi.org/10.1061/9780784481301.021