Abstract
This research aims to conduct a comparative study of artificial intelligence (AI) software platforms used in interior design. The focus of the study is to evaluate the effectiveness, sophistication, and performance of various AI platforms in supporting innovation and efficiency in the internal design process. This research method involved an in-depth analysis of several leading AI platforms used in interior design, reviewing their superior features, personalization capabilities, and integration with other design tools. In addition, this research will evaluate the impact of using these platforms on project completion time, design results accuracy, and client satisfaction. The results of this research can provide valuable insight for interior design professionals. By understanding how AI platforms compare, professionals can make more informed decisions in selecting the solution that best suits their project's needs. In an era of rapid technological development, this research can provide helpful guidance for optimally utilizing AI technology, thereby achieving interior design results that are not only innovative but also efficient. The conclusions from the research can provide beneficial advice in optimally utilizing AI technology to achieve innovative and efficient interior design results. By identifying the strengths and weaknesses of each platform, interior design professionals can optimize the use of AI technology according to their project needs and preferences. As a result, this research can positively contribute to the development of the interior design industry, creating a more productive and satisfying work environment for professionals and clients.
References
-
Adio-Moses, D., & Asaolu, O. S. (2016, February). Artificial intelligence for sustainable development of intelligent buildings. In Proceedings of the 9th CIDB Postgraduate Conference, At University of Cape Town, South Africa.
-
Quan, S. J., Park, J., Economou, A., & Lee, S. (2019). Artificial intelligence-aided design: Smart design for sustainable city development. Environment and Planning B: Urban Analytics and City Science, 46(8), 1581-1599.
-
Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., ... & Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction, 141, 104440.
-
Sacks, R., Girolami, M., & Brilakis, I. (2020). Building information modelling, artificial intelligence and construction tech. Developments in the Built Environment, 4, 100011.
-
Verganti, R., Vendraminelli, L., & Iansiti, M. (2020). Innovation and design in the age of artificial intelligence. Journal of Product Innovation Management, 37(3), 212-227.
-
Hanafy, N. O. (2023). Artificial intelligence's effects on design process creativity:" A study on used AI Text-to-Image in architecture". Journal of Building Engineering, 80, 107999.
-
Oppenlaender, J. (2022, November). The creativity of text-to-image generation. In Proceedings of the 25th International Academic Mindtrek Conference (pp. 192-202).
-
Melendez, F. (2019). Drawing from the Model: Fundamentals of Digital Drawing, 3D Modeling, and Visual Programming in Architectural Design. John Wiley & Sons.
-
Satria, A., Sinambela, A. P., & Irhami, R. A. (2023). PENGARUH SOFTWARE ARSITEKTUR BERBASIS AI TERHADAP PROSES DESAIN DAN PEMBELAJARAN. DEVICE: JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 4(2), 218-227.
-
Ewert, M., Brodowicz, D. P., & Pospieszny, P. (2018). Artificial Intelligence and machines: A curse or blessing for corporate real estate?. Corporate Real Estate Journal, 7(4), 337-351.
-
Steenson, M. W. (2022). Architectural intelligence: How designers and architects created the digital landscape. mit Press.
-
Rock, W. R. L. (2020). Artificial Intelligence (AI) in Arkansas (AR).
-
Poppe, E. S. T. (2019). The Future Is Complicated: AI, Apps & Access to Justice. Okla. L. Rev., 72, 185.
-
Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2023). A survey of Generative AI Applications. arXiv preprint arXiv:2306.02781.
-
MARINO, S. J. (2022). Technological innovations in the design process-a case study.
-
Vaitkus, L. (2023). Dizainerio kompetencijų tyrimas: darbas su generatyvinio projektavimo įrankiais; Dizaino proceso spekuliatyvus palyginimas: dizaino specialistas papildytas „smegenų protezais “ (Doctoral dissertation, Vilniaus dailės akademija).
-
Chickanayakanahalli, A. P. (2023). Enhancing South Asian Folktales through Mixed Reality: Exploring Accessibility, Contextualization, and Discovery (Doctoral dissertation, OCAD University).
-
Mega, V. (2022). Cities as Living Labs of Knowledge, Co-creation and Innovation. In Human Sustainable Cities: Towards the SDGs and Green, Just, Smart and Inclusive Transitions (pp. 195-223). Cham: Springer International Publishing.
-
Talamo, C., Paganin, G., Atta, N., & Bernardini, C. (2021). Design of urban services as a soft adaptation strategy to cope with climate change. TECHNE Journal of Technology for Architecture and Environment, Special Series, 2, 87-92.
-
Ingram, J. (2020). Understanding BIM: The past, present and future. Routledge.
-
Anane, W. (2022). BIM-driven computational design for robotic manufacturing in construction: a design-to-manufacturing approach (Doctoral dissertation, École de technologie supérieure).
-
Amer, N. A. (2023). Architectural Design in The Light of AI Concepts and Applications. ENGINEERING JOURNAL, 2(2).
-
Ko, J., Ajibefun, J., & Yan, W. (2023). Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design. arXiv preprint arXiv:2308.00227.
-
Ali, B. N., & Elzeni, M. M. Ai-Acd: A Proposed Workflow of Ai-Powered Architectural Computational Design Process. Available at SSRN 4691649.
-
Brisibe, W. G. (2020). Analyzing Presentation Forma Stages in Archite.
-
McAloney, E. J. (2023). A proposed implementation tracking tool for the Metlakatla cumulative effects management program.
-
Singh, S. P., Jain, K., & Mandla, V. R. (2013). Image Based 3D Modeling of Campus (Department of Civil Engineering, IIT Roorkee, Uttarakhand, India) by Using SketchUp. International Journal of Advanced Civil Engineering and Architecture Research, 2(1), 65-71.
Author Biographies
Muhammad Tahsin
Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)
Peneliti Junior, Research Division, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI), Kota Banda Aceh, Provinsi Aceh, Indonesia
Muhammad Agha Afkar
Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)
Peneliti Junior, Research Division, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI), Kota Banda Aceh, Provinsi Aceh, Indonesia