Transforming Homestay Guest Experience with AI-Powered Design Tools

Mohan Singh*, Gyanendra B. S. Johri**, Rajat Jaiswal***, Hitesh Tripathi****, Dushyant Kumar Turkel*****
*-***** Department of Tourism Management, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India.
Periodicity:January - June'2023
DOI : https://doi.org/10.26634/jaim.1.1.19176

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.

Keywords

Artificial Intelligence, Homestay Design, Exploratory Factor Analysis, Confirmatory Factor Analysis, Virtual Reality

How to Cite this Article?

Singh, M., Johri, G. B. S., Jaiswal, R., Tripathi, H., and Turkel, D. K. (2023). Transforming Homestay Guest Experience with AI-Powered Design Tools. i-manager’s Journal on Artificial Intelligence & Machine Learning, 1(1), 20-27. https://doi.org/10.26634/jaim.1.1.19176

References

[1]. Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research. The Guilford Press, New York.
[5]. Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling. Guilford Press, New York.
[12]. Zha, X., & Wang, Q. (2020). A study on the problems and countermeasures of home stay industry development in Tianjin. Sustainable Development, 10(1), 112-120.
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