Authors :
Mst Habiba Farhana; Ridoy Kumar Roy; Sharmistha Mitro
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/5bmvvh3z
Scribd :
https://tinyurl.com/7cpns4c7
DOI :
https://doi.org/10.38124/ijisrt/25oct537
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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Abstract :
The rapidly expanding integration of spatial computing and artificial intelligence (AI) is redefining the
boundaries of computer-aided design (CAD) through immersive technologies such as augmented and virtual reality
(AR/VR). This paper investigates how these technologies are transforming CAD workflows, with a focus on enhanced
collaboration, simulation, and user-centered design. This study analyzes important technology enablers like AR/VR gear,
AI-driven modeling tools, network infrastructure and emphasize how they contribute to better design efficiency and
usability. The study also compares Western and Chinese AI platforms, such as ChatGPT, DeepSeek, Stable Diffusion, and
Qwen2-Max to demonstrate the design processes and optimize user interfaces. A case study of a voice-activated smart
home device illustrates how these technologies can be applied in real-world scenarios. The analysis includes current
concerns such as network dependency and interoperability issues, as well as future developments such as edge computing,
AI-driven predictive modeling, and enhanced mixed reality interfaces. This research provides essential guidance for
designers, engineers, and academics aiming to leverage spatial computing for next-generation CAD systems.
Keywords :
Spatial Computing, Immersive CAD, Augmented Reality, Virtual Reality, AI in Design.
References :
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The rapidly expanding integration of spatial computing and artificial intelligence (AI) is redefining the
boundaries of computer-aided design (CAD) through immersive technologies such as augmented and virtual reality
(AR/VR). This paper investigates how these technologies are transforming CAD workflows, with a focus on enhanced
collaboration, simulation, and user-centered design. This study analyzes important technology enablers like AR/VR gear,
AI-driven modeling tools, network infrastructure and emphasize how they contribute to better design efficiency and
usability. The study also compares Western and Chinese AI platforms, such as ChatGPT, DeepSeek, Stable Diffusion, and
Qwen2-Max to demonstrate the design processes and optimize user interfaces. A case study of a voice-activated smart
home device illustrates how these technologies can be applied in real-world scenarios. The analysis includes current
concerns such as network dependency and interoperability issues, as well as future developments such as edge computing,
AI-driven predictive modeling, and enhanced mixed reality interfaces. This research provides essential guidance for
designers, engineers, and academics aiming to leverage spatial computing for next-generation CAD systems.
Keywords :
Spatial Computing, Immersive CAD, Augmented Reality, Virtual Reality, AI in Design.