Version 1
: Received: 2 October 2023 / Approved: 2 October 2023 / Online: 3 October 2023 (16:19:34 CEST)
How to cite:
Ramm, T.M.; Werwie, M.; Otto, T.; Gloor, P.A.; Salingaros, N.A. AI evaluates how humans connect to the built environment: two experiments in biophilia. Preprints2023, 2023100172. https://doi.org/10.20944/preprints202310.0172.v1
Ramm, T.M.; Werwie, M.; Otto, T.; Gloor, P.A.; Salingaros, N.A. AI evaluates how humans connect to the built environment: two experiments in biophilia. Preprints 2023, 2023100172. https://doi.org/10.20944/preprints202310.0172.v1
Ramm, T.M.; Werwie, M.; Otto, T.; Gloor, P.A.; Salingaros, N.A. AI evaluates how humans connect to the built environment: two experiments in biophilia. Preprints2023, 2023100172. https://doi.org/10.20944/preprints202310.0172.v1
APA Style
Ramm, T.M., Werwie, M., Otto, T., Gloor, P.A., & Salingaros, N.A. (2023). AI evaluates how humans connect to the built environment: two experiments in biophilia. Preprints. https://doi.org/10.20944/preprints202310.0172.v1
Chicago/Turabian Style
Ramm, T.M., Peter A Gloor and Nikos A. Salingaros. 2023 "AI evaluates how humans connect to the built environment: two experiments in biophilia" Preprints. https://doi.org/10.20944/preprints202310.0172.v1
Abstract
A multitude of factors influence our well-being and health in everyday life. Some of which we are totally aware like a delayed train, car exhausts, or continuous work stress. Other factors influence us on a subconscious level, making them, however, not less important to address. One of these factors is the built environment surrounding us almost every second of our lives. The idea of biophilic design states the importance of natural elements implemented in architectural structures to improve the occupants’ health and well-being. Adding to this field of research, this article targets the impact of biophilic design on positive emotions and productivity by using novel approaches like Facial Emotion Recognition (FER) with Residual Masking Networks, and sentiment detection using Large Language Models. Two separate but related studies were conducted and their results reported here. The first study measured emotions of people when confronted with images of different kinds of architecture, via FER (Facial Emotion Recognition) and also via a user survey. We distinguish between self-stated emotions entered through a survey by study participants, and emotions detected from studying the participants’ faces through AI from our FER (Facial Emotion Recognition) system. We found clear trends for most detected emotions, and significant evidence for self-stated emotions, that architecture implementing biophilic design evokes more positive emotions than one that does not. The second study measures the influence of natural elements on productivity and team-engagement. We found that natural elements do influence productivity and sentiment positively; however, only the change in sentiment was shown to be significant. As our sample size, especially for the second study, was relatively small, future research will apply these ideas in a larger setup to acquire further evidence for the importance of biophilic design for human well-being and health.
Keywords
Biophilic Design; Well-being and Health; Built Environment; Facial Emotion Recognition (FER); Residual Masking Networks; Large Language Models for Sentiment Detection; Architectural Impact on Emotions; Natural Elements and Productivity
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
