Transforming homestay guest experience with AI-powered design tools

Singh Mohan, B. S. J. Gyanendra, Jaiswal Rajat, Tripathi Hitesh, Kumar Turkel Dushyant
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Abstract

Artificial Intelligence (AI) is playing a very significant and prominent role in product development as per consumer requirements. It can provide valuable tools and equipment and assist designers in their work. Homestay design is a service sector component with regional and cultural overtones. Therefore, this study aims to analyze the design and production of homestays through AI in order to raise the standards of homestay establishments and encourage the growth of rural tourism. Exploratory Factor Analysis (EFA) is used to search for factors mainly responsible for designing any homestay establishment based on geographical location and local culture. Then confirmatory factor analysis (CFA) was applied to confirm how the explored factors are related and affect the homestay design through the structural model. According to the survey findings, visitors are more interested in the floor plan, type, and essence of homestays. The research and analysis in this paper found that people prefer the room layout and style of homestays, so when designing a homestay, it uses three-dimensional modeling technology to simulate the room layout and homestay style.
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用ai驱动的设计工具改变民宿客人的体验
根据消费者的需求,人工智能(AI)在产品开发中发挥着非常重要和突出的作用。它可以提供有价值的工具和设备,并协助设计师的工作。民宿设计是一个具有地域和文化色彩的服务部门。因此,本研究旨在透过AI来分析民宿的设计与制作,以提高民宿的水准,并促进乡村旅游的发展。探索性因素分析(Exploratory Factor Analysis, EFA)是一种基于地理位置和当地文化的民宿设施设计的主要因素。然后运用验证性因子分析(confirmatory factor analysis, CFA),通过结构模型来验证所探索的因素之间是如何关联并影响民宿设计的。根据调查结果,游客对民宿的平面图、类型和本质更感兴趣。通过本文的研究和分析发现,人们更喜欢民宿的房间布局和风格,所以在设计民宿时,使用三维建模技术来模拟民宿的房间布局和风格。
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