The Application of Intelligent Technology in Interior Design and Its Impact on Living Experience
Journal: Journal of Building Technology DOI: 10.32629/jbt.v6i2.2593
Abstract
The development trend of intelligent residential interior design suggests that deep personalization, integration, greenness, and security will become mainstream. Designers will utilize AI technology to comprehensively understand user needs and craft unique smart home experiences. The future home environment will seamlessly integrate devices and offer efficient control methods for convenience. Additionally, there will be a heightened focus on environmental sustainability, optimizing energy usage through intelligent systems and potentially incorporating renewable energy sources to achieve zero-energy living spaces. Intelligent technology is significantly transforming interior design, guiding living spaces towards a smarter, more comfortable, and more sustainable future. Throughout this progression, design is evolving from a singular aesthetic focus to the fusion of technology and art. Designers are transitioning into technology leaders and artistic innovators, collectively shaping the future lifestyle of humanity.
Keywords
intelligent technology; interior design; living experience; AI (artificial intelligence) model; smart home
Full Text
PDF - Viewed/Downloaded: 2 TimesReferences
[1]Roberts David, Warnaar Dirk, Menozzi Alberico, Saadat Soheil, Snarski Steve. 2007. Rapid high-confidence intelligent interior mapping. Unmanned Systems Technology IX, 65(1): E02R.
[2]Kun Qian, Zhichao Hou. 2021. Intelligent evaluation of the interior sound quality of electric vehicles. Applied Acoustics, 173(3): 84.
[3]Yan Li. 2023. EDAS-aided intelligent decision-making in interior decoration design quality assessment using 2-tuple linguistic pythagorean fuzzy sets. International Journal of Knowledge-based and Intelligent Engineering Systems, 27(3): 273-288.
[4]Qing Chen. 2018. Research and design on library intelligent management and decorative materials. Applied Mechanics and Materials, 43(5): 123-124.
[5]Adams Rod, Milligan Andy, Simpkins Nigel. 2021. Interior resistance. Journal of Interior Design, 46(8): 11-25.
[2]Kun Qian, Zhichao Hou. 2021. Intelligent evaluation of the interior sound quality of electric vehicles. Applied Acoustics, 173(3): 84.
[3]Yan Li. 2023. EDAS-aided intelligent decision-making in interior decoration design quality assessment using 2-tuple linguistic pythagorean fuzzy sets. International Journal of Knowledge-based and Intelligent Engineering Systems, 27(3): 273-288.
[4]Qing Chen. 2018. Research and design on library intelligent management and decorative materials. Applied Mechanics and Materials, 43(5): 123-124.
[5]Adams Rod, Milligan Andy, Simpkins Nigel. 2021. Interior resistance. Journal of Interior Design, 46(8): 11-25.
Copyright © 2024 Xu Yang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License