Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects

Volume: 10 | Issue: 01 | Year 2024 | Open Access

Received Date: 08/24/2024
Acceptance Date: 09/06/2024
Published On: 2024-09-30
First Page: 26
Last Page: 41

Journal Menu

By: Shafiaa Saad Alghamdi

1. Assistant Professor, Art & Design College, University of Jeddah, Saudi Arabia.

Abstract

Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The complex history of Saudi Arabia should be used to guide the development of AI-driven products. AI may struggle to meet customer and cultural expectations, and improper AI integration into systems may hinder innovation. Machine learning techniques that are powered by artificial intelligence and generative adversarial networks (AI-GANs) are utilized in the proposed method for the purpose to enhance design processes. These tools help designers build culturally sensitive, customer-focused, brand-consistent designs. AI-powered sentiment analysis and trend forecasts can identify consumer requirements and product success. Artificial intelligence can visualize, improve layouts, and build culturally sensitive architecture. AR and VR technology recreates cultural and historical events, and AI’s data-driven decisions based on market trends, user interaction, and sales statistics can boost design efficiency and creativity. Simulation studies evaluate AI applications throughout design utilizing performance metrics and predictive analytics. Companies must assess the performance and efficacy of AI-driven design processes, client happiness, and cultural norms. Design specialists can better serve the Saudi Arabian market by considering this data and adapting their approaches to the regional preferences.

Artificial intelligence (AI), generative adversarial networks (GANs), virtual reality (VR) and augmented reality (AR)

Loading

Citation:

How to cite this article: Shafiaa Saad Alghamdi, Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects. . 2024; 10(01): 26-41p.

How to cite this URL: Shafiaa Saad Alghamdi, Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects. . 2024; 10(01): 26-41p. Available from:https://journalspub.com/publication/customer-preferences-in-adopting-ai-in-their-building-designs-a-perspective-case-study-from-saudi-arabian-architects/
Full Text
Full Text

Refrences:

  1. Madkhali A, Sithole ST. Exploring the role of information technology in supporting sustainability efforts in Saudi Arabia. Sustain. 2023;15(16):12375.
  2. Felemban H, Sohail M, Ruikar K. Exploring the readiness of organisations to adopt artificial intelligence. Buildings. 2024;14(8):2460.
  3. Alhumaid AM, Bin Mahmoud AA, Almohsen AS. Value engineering adoption’s barriers and solutions: The case of Saudi Arabia’s construction industry. Buildings. 2024;14(4):1017.
  4. Algassim H, Sepasgozar SM, Ostwald M, Davis S. A qualitative study on factors influencing technology adoption in the architecture industry. Buildings. 2023;13(4):1100.
  5. Alzain E, Alshebami AS, Aldhyani TH, Alsubari SN. Application of artificial intelligence for predicting real estate prices: The case of Saudi Arabia. Electronics. 2022;11(21):3448.
  6. Budaiwi IM, Abdul Fasi M. Assessing the energy-saving potential and visual comfort of electrochromic smart windows in office buildings: A case study in Dhahran, Saudi Arabia. Sustain. 2023;15(12):9632.
  7. Badghish S, Soomro YA. Artificial intelligence adoption by SMEs to achieve sustainable business performance: application of technology–organization–environment framework. Sustain. 2024; 16(5):1864.
  8. Baharetha S, Soliman AM, Hassanain MA, Alshibani A, Ezz MS. Assessment of the challenges influencing the adoption of smart building technologies. Front Built Environ. 2024;9:1334005.
  9. Alkraiji AI. Weighting the challenges to the effectiveness of business intelligence systems in organisations: An empirical study of government organisations in Saudi Arabia. J Decision Syst. 2020;29(2):102–127.
  10. Ali J, Madni SHH, Jahangeer MSI, Danish MAA. IoT adoption model for e-learning in higher education institutes: A case study in Saudi Arabia. Sustain. 2023;15(12):9748.
  11. Othman AAE, Saad ASM. A 4-Dimensional strategy for managing construction waste originating during the design process within architectural design firms in Egypt. Int J Eng Res Africa. 2024; 70:95–116.
  12. Hassanain MA, Alamoudi A, Al-Hammad AM, Abdallah A. Barriers to the implementation of POE practices in the Saudi Arabian building industry. Archit Eng Des Manage. 2020;16(2):150–165.
  13. Alahmari N, Mehmood R, Alzahrani A, Yigitcanlar T, Corchado JM. Autonomous and sustainable service economies: Data-driven optimization of design and operations through discovery of multi-perspective parameters. Sustain. 2023;15(22):16003.
  14. Alhamoudi AM, Osunsanmi TO. Making a case for the adoption of Industry 4.0 Technologies for sustainable housing delivery in Saudi Arabia. Sustain. 2024;16(8):3399.
  15. Aljawder A, Al-Karaghouli W. The adoption of technology management principles and artificial intelligence for a sustainable lean construction industry in the case of Bahrain. J Decis Syst. 2024; 33(2):263–292.
  16. Alshahrani A, Dennehy D, Mäntymäki M. An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia. Gov Inf Q. 2022;39(4):101617.
  17. Alotaibi R, Ali A, Alharthi H, Almehamdi R. AI chatbot for tourist recommendations: A case study in the city of Jeddah, Saudi Arabia. 2020:18–30.
  18. Alghassab MA. Fuzzy-based smart energy management system for residential buildings in Saudi Arabia: A comparative study. Energy Rep. 2024;11:1212–1224.
  19. Alharthey BK. The influence of artificial intelligence on customer behavior. Am J Manag Econ Innov. 2024;6(03):26–38.
  20. Alateeg S, Alhammadi A, Al-Ayed SI, Helmi MA. Factors influencing on behavioral intention to adopt artificial intelligence for startup sustainability. Kurdish Studies. 2024;12(1):2924–2941.
  21. Mutambik I. The use of AI-driven automation to enhance student learning experiences in the KSA: An alternative pathway to sustainable education. Sustain. 2024;16(14):5970.
  22. Baharetha S, Soliman AM, Hassanain MA, Alshibani A, Ezz MS. Assessment of the challenges influencing the adoption of smart building technologies. Front Built Environ. 2024;9:1334005.
  23. Abdo KW. The role of artificial intelligence in improving healthcare operations in Saudi Arabia: Analytical study of current and future systems. Nanotechnol Perceptions. 2024:743–758.
  24. Altuwaim A, AlTasan A, Almohsen A. Customer satisfaction with advanced construction technologies in residential buildings. J Asian Archit Build Eng. 2024:1–15.
  25. Aljuaid AA, Masood SA, Tipu JA. Integrating Industry 4.0 for sustainable localized manufacturing to support Saudi Vision 2030: An assessment of the Saudi Arabian automotive industry model. Sustain. 2024;16(12):5096.
  26. Uraif A. Developing Healthcare infrastructure in Saudi Arabia using smart technologies: Challenges and opportunities. Commun Net. 2024;16(3):51–73.
  27. Asiri AM, Al-Somali SA, Maghrabi RO. The integration of sustainable technology and big data analytics in Saudi Arabian SMEs: A path to improved business performance. Sustain. 2024;16(8): 3209.
  28. Al-Hajri A, Abdella GM, Al-Yafei H, Aseel S, Hamouda AM. A Systematic literature review of the digital transformation in the Arabian Gulf’s oil and gas sector. Sustain. 2024;16(15):6601.
  29. Alnaim MM. The typology of courtyard space in Najdi Architecture, Saudi Arabia: A response to human needs, culture, and the environment. J Asian Archit Build Eng. 2024;23(1):91–110.
  30. Khan AN, Mehmood K, Soomro MA. Knowledge management-based artificial intelligence (AI) adoption in construction SMEs: The moderating role of knowledge integration. IEEE T Eng Manage. 2024.

 Previous Article
Next Article