Abstract
Electromagnetic radiation in smart buildings is viewed to cause health damage to dwellers, thus, calling designers to develop buildings and, eventually, radiation-free cities or smart cities that cause zero radiation. Several building factors play a role in dissipating electromagnetic radiation in a smart building, like building materials shielding capability to block radiation, wired internet connectivity, and radiation blocking trees. The proposed novel model incorporated several of these strategies to produce zero radiation and was confirmed with electromagnetic simulation software Computer Simulation Technology (CST). This exploratory investigation aims to understand stakeholders' perception of the concept of zero radiation smart building relying on neuroarchitecture approach. A short video was developed presenting the radiation risks and some mitigation strategies, which was presented to stakeholders seeking their attitude and perception as evaluated with an Emotiv headset. The paper presents the results and analysis of the transient mood states on six performance metrics: stress, engagement, excitement, interest, focus, and relaxation. It was found that there was a statistically significant difference in the participants' response to the video, with excitement being significantly increased in alignment with the mitigation strategies part of the video, while the remaining metrics were not affected.
Original language | English |
---|---|
Pages (from-to) | 420-427 |
Number of pages | 8 |
Journal | ZEMCH International Conference |
Publication status | Published - 2022 |
Event | 9th Zero Energy Mass Custom Home International Conference, ZEMCH 2022 - Bangalore, India Duration: Nov 3 2022 → Nov 5 2022 |
Keywords
- Computer Simulation Technology (CST)
- ElectroMagnetic Radiation (EMR)
- Neuroarchitecture
- Perception
- Smart Buildings
- Zero Radiation Strategies
ASJC Scopus subject areas
- Civil and Structural Engineering
- Architecture
- Building and Construction
- Renewable Energy, Sustainability and the Environment
- Safety, Risk, Reliability and Quality
- Computer Science Applications