A Review on Artificial Intelligence Supported User-Centered Design and Psychological Interaction
DOI:
https://doi.org/10.5281/zenodo.11351508Abstract
This article examines how the integration of architecture, artificial intelligence (AI) and psychology disciplines plays an important role in the design of spaces that prioritize user-oriented and psychological well-being. In recent years, the intersection of these three disciplines has been transforming space design processes and offering new perspectives. Artificial intelligence technologies enable innovative solutions such as automated design optimization and analysis of user behavior data through design tools and methodologies. This allows designers to make more informed decisions and develop user-centered solutions.
Smart living spaces and AI-supported accessibility solutions enhance the potential to create personalized spaces that better meet users' emotional and psychological needs. However, the use of artificial intelligence in architecture also brings challenges such as ethics, data privacy, and algorithmic bias, highlighting the importance of algorithmic transparency and accountability. The integration of architecture and psychology enables a deep understanding of the impact of space design on people's psychological states and enriches the user experience, thus achieving positive outcomes such as reducing stress levels and encouraging social interactions. In the future, this integration is expected to focus on innovative design strategies that have the potential to enhance users' emotional and psychological well-being. In conclusion, the intersection of architecture and psychology disciplines offers significant opportunities for creating more responsive and supportive spaces, enriching architectural practice and opening new horizons for creating spaces that enhance users' quality of life. This integration will continue to shape the future of the field, based on interdisciplinary collaboration, innovative research methods, and a user-centered design philosophy.
References
Colenberg S., Jylha T., (2022) “Identifying interior design strategies for healthy workplaces- a literature review” Journal of Corporate Real Estate, 24 (3), 173-189.
Ghazala B., Samar I., Shaalan K., “Emotionally intelligent chatbots: a systematic literature review”, Human Behavior and Emerging Technologies, (2022), 1-23, Doi: https://doi.org/10.1155/2022/9601630
Gui, X., Peng, Y., Sharma, P., & De Choudhury, M. (2021). “Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community. ar5iv. https://ar5iv.labs.arxiv.org/html/2202.10065
Guszcza J., (2018), “Smarter together: Why artifical intelligence needs human-centered design” Delotti Insights, 22, 36-45.
Interaction Design Foundation- IxDF. (2024, January 11). What is Human-Centered AI (HCAI)? Interaction Design Foundation- IxDF. https://www.interaction-design.org/literature/topics/human-centered-ai
Lee H., Kim S. J. and Park J., (2020), “AI in smart cities: Technology, applications, and governance”. Urban Technology Review, 22(3), 145-163.
Johnson L. M., Smith R. A., (2019), “Human behavior and environmental psychology: Implications for architectural design”, Environment and Behavior Studies Review, 41(4), 408-426.
Muntañola J., Carulla M. S., Carulla M. S., Cocho-bermejo A., at all., (2022), “Artificial Intelligence and Architectural Design: An Introduciton”, Arquitectonics, 166, 10.5821/ebook-9788419184498.
Oppenheim A. L., Vartanian O., Kirk, U., (2009), “The impact of architectural design on human psychology”. Neuroreport, 20(5), 125-134. doi: 10.1097/WNR.0b013e32832ffddf.
Patel K. D., Gupta A., (2018), “User-centered design and psychological aspects in architecture: a review”. International Journal of Design and Innovation Research, 6(1), 54-69.
Rodriguez A. and Cho Y. K., (2022), “The impact of artificial intelligence on architectural design processes: A review”, Advances in Architectural Research, 8(2), 199-215.
Stige A., Zamani E. D., Mikalef P., Yuzhen Z., (2023)” Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda”, Information Technology & People, https://doi.org/10.1108/ITP-07-2022-0519.
Silva L. F., Ramos I., (2019), “Emotional and psychological effects of space design” Journal of Environmental Psychology and Design, 17(3), 275-287.
Tarek S., Ouf A.S.ED. “Biophilic smart cities: the role of nature and technology in enhancing urban resilience. J. Eng. Appl. Sci. 68, 40 (2021). https://doi.org/10.1186/s44147-021-00042-8
Vartanian O., Navarrete G., Chatterjee A., Fich L. B., Leder H., Modrono C., Nadal M., Rostrup, N., Skov, M., (2013), “Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture”, Proceedings of the National Academy of Sciences, 110(2), 10446-10453. Doi:10.1073/pnas.1301227110
Web 1, (2024), “Artificial Intelligence: how are architects using AI right now and what are they using it for?”, Url (01.05.2024): https://www.architecture.com/knowledge-and-resources/knowledge-landing-page/artificial-intelligence-in-architecture.
Xu H., Wei W., Wu C., Pan Y., (2023), “Positive experince design strategies for loT products to improve user sustainable well-being”, Sustainability,15 (17), doi: https://doi.org/10.3390/su151713071
Yang B., Wei L., Pu Z., (2020), “Measuring and improving user experience thruoug artificial intelligence -aided design”, Psychology, 11, 1-11, https://doi.org/10.3389/fpsyg.2020.595374.
Zhang Z., Fort J. M., Mateu L. G., (2023), “Explorinring the potential artificial intelligence as a tool for architectural design: a perception study using Gaudi’s works”, Buildings, 13 (7), https://doi.org/10.3390/buildings13071863.
Zhang Y. and Sun, J. (2021). “Adaptive and intelligent architecture: Learning from user feedback through artificial intelligence”, Journal of Intelligent Building Technologies, 3(1), 1-16.
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