Human-Computer Interaction and Human-Building Interaction
Human-building interaction for indoor environmental control: Evolution of technology and future prospects
Abstract
This paper presents a data-driven literature review of human-building interaction (HBI), which refers to the interaction between occupants and buildings. Through natural language processing-based text classification, the paper analyzed 907 literature sources and derived four research topics: automatic climate controller, automatic lighting controller, automatic window opener, and artificial intelligence. A meta-analysis was conducted to explore these topics from early to state-of-the-art technology. The meta-analysis revealed challenges and opportunities from the sensing, predicting, and control perspectives. Finally, the paper proposes future prospects to overcome these challenges, including increasing self-awareness in the environment, using multimodal sentimental feedback control, utilizing online and meta-learning, promoting collective control, and building infrastructure for field implementation. Eventually, HBI can also enhance the occupants' well-being by generating a more optimal indoor environment. In addition, the integration of advanced artificial intelligence can improve decision-making processes and increase the overall performance of automatic controllers.
Topics
Cite this paper
@article{8d1590d4,
title = {Human-building interaction for indoor environmental control: Evolution of technology and future prospects},
journal = {Automation in Construction},
volume = {152},
pages = {104938},
year = {2023},
issn = {0926-5805},
doi = {https://doi.org/10.1016/j.autcon.2023.104938},
url = {https://www.sciencedirect.com/science/article/pii/S092658052300198X},
author = {Hakpyeong Kim and Hyuna Kang and Heeju Choi and Dahyun Jung and Taehoon Hong},
keywords = {Human-building interaction, Topic modeling, BERTopic, Automatic control, Occupant centric control, Human-in-the-loop control},
abstract = {This paper presents a data-driven literature review of human-building interaction (HBI), which refers to the interaction between occupants and buildings. Through natural language processing-based text classification, the paper analyzed 907 literature sources and derived four research topics: automatic climate controller, automatic lighting controller, automatic window opener, and artificial intelligence. A meta-analysis was conducted to explore these topics from early to state-of-the-art technology. The meta-analysis revealed challenges and opportunities from the sensing, predicting, and control perspectives. Finally, the paper proposes future prospects to overcome these challenges, including increasing self-awareness in the environment, using multimodal sentimental feedback control, utilizing online and meta-learning, promoting collective control, and building infrastructure for field implementation. Eventually, HBI can also enhance the occupants' well-being by generating a more optimal indoor environment. In addition, the integration of advanced artificial intelligence can improve decision-making processes and increase the overall performance of automatic controllers.}
}