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Using Web Data Scraping to Reveal the Relationship Between AI Product and Room Layout

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Design and Technological Applications in Sustainable Architecture

Part of the book series: Strategies for Sustainability ((SPPSDE))

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Abstract

With the development of science and technology, artificial intelligence (AI) products are used more and more in buildings. However, we did not know how to make full use of AI products. This research aims to reveal the relationship between artificial intelligent (AI) products and room layout. Ten types of smart products and 6 types of room were selected. Then we used Gooseeker, a web scraping software, to extract AI product reviews on Amazon.com. Excel filter function was used to categorize reviews and conduct quantitative and qualitative analysis. The result shows that most of the AI products are placed in the bedroom. Specifically, smart speaker is most often placed in the kitchen. Temperature/humidity sensor, thermostat, smoke/carbon detector, smart light, smart hub, and smart screen are most often placed in the bedroom. Motion sensor and door/window sensor are most often placed in the hallway. We also read reviews manually and learned the reasons and shortcomings of people placing a smart product in a room. This research can help the design of smart buildings and provide a suggestion for the layout of smart products.

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Correspondence to Zhenjiang Shen .

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Guo, X., Shen, Z., Teng, X., Lin, Y. (2021). Using Web Data Scraping to Reveal the Relationship Between AI Product and Room Layout. In: Lau, S.S.Y., Li, J., Hao, S., Lu, S. (eds) Design and Technological Applications in Sustainable Architecture. Strategies for Sustainability(). Springer, Cham. https://doi.org/10.1007/978-3-030-80034-5_11

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