Elevating User-Centered Design with AI: A Comprehensive Exploration using the AI-UCD Algorithm Framework

Authors

  • Waralak Vongdoiwang Siricharoien Silpakorn University

DOI:

https://doi.org/10.4108/eetcasa.4211

Keywords:

Artificial intelligence, User-Centered Design (UCD), AI-UCD Framework, Human Centered Design, User Experience (UX)

Abstract

This paper presents a comprehensive exploration of the synergistic relationship between User-Centered Design (UCD) and Artificial Intelligence (AI) within the context of the AI-UCD Algorithm Framework. With the growing influence of AI in digital interfaces, the need to prioritize user needs and preferences has become paramount. The AI-UCD Framework, consisting of nine pivotal steps, acts as a structured guide for integrating AI into user interfaces while ensuring a user-centric, data-driven, and ethical approach. The exploration begins by highlighting the importance of understanding user needs and context through robust user research and contextual inquiry. It then delves into the process of defining AI integration objectives and brainstorming AI-enhanced solutions, emphasizing the creative aspects of UCD in tandem with AI capabilities. Subsequently, the paper discusses the critical role of designing AI-driven interfaces, from information architecture to user flow design, ensuring seamless integration of AI features.Implementation and testing of AI features are addressed, highlighting the collaboration between UI/UX designers and AI developers. The paper emphasizes the iterative nature of the framework, relying on usability testing and user feedback to drive continuous improvements. Moreover, it considers user training and assistance, a vital aspect of introducing users to AI features.The framework's data-driven aspect is covered by discussing data collection, analysis, and performance monitoring to ensure AI features are meeting objectives and KPIs. Additionally, the exploration addresses AI's role in personalization, adapting to user behavior and preferences. It recognizes the ethical dimensions of AI, promoting transparency, fairness, and accessibility.The paper then presents a five-step AI-UCD Validation Model, designed to verify the framework's effectiveness in real-world applications. These validation steps encompass user testing and feedback, data analysis, ethical audits, iterative improvements, and compliance with industry standards. Examples of how these steps work in practice are provided.

References

Perifanis, N.-A., & Kitsios, F. (2023). Investigating the influence of artificial intelligence on Business Value in the digital era of strategy: A literature review. Information, 14(2), 85. https://doi.org/10.3390/info14020085

Mollick, E. (2023). Distribution of output quality across all the tasks. The blue group did not use AI, the green and red groups used AI, the red group got some additional training on how to use AI. Centaurs and Cyborgs on the Jagged Frontier. One Useful Thing. Retrieved from https://www.oneusefulthing.org/p/centaurs-and-cyborgs-on-the-jagged?fbclid=IwAR2owYRaiVmvwPx9rWR_odrj_GvfSGMol_IrlO6SNs6L0pNEi4TCM1i3mBs

Mileva, G. (2023, May 24). How ai is reshaping the future of eCommerce. Influencer Marketing Hub. https://influencermarketinghub.com/ai-ecommerce/

Mirela. (2023, August 1). AI localization: The transformative role of Artificial Intelligence. PoEditor Blog. https://poeditor.com/blog/ai-localization/

Hermann, E. (2021). Leveraging Artificial Intelligence in marketing for Social Good—an ethical perspective. Journal of Business Ethics, 179(1), 43–61. https://doi.org/10.1007/s10551-021-04843-y

Dey, V. (2023, June 15). Elevating customer experience: The rise of generative AI and Conversational Data Analytics. VentureBeat. https://venturebeat.com/ai/the-future-of-personalization-how-generative-ai-is-elevating-customer-experiences/

Følstad, A., & Brandtzæg, P. B. (2017). Chatbots and the New World of HCI. Interactions, 24(4), 38–42. https://doi.org/10.1145/3085558 DOI: https://doi.org/10.1145/3085558

Kayte, S. (2020). Natural Language Principles. Chatbots Life. Retrieved from https://chatbotslife.com/natural-language-principles-65e88e20b94.

Mortazavi, S. M. (2023, August 29). Best guide for creating customer journey: E-commerce nation. ECN. https://www.ecommerce-nation.com/customer-journey-map/

Volyntseva, Y. (2023, May 6). AI and Social Media: A powerful combination. Businesstechweekly.com. https://www.businesstechweekly.com/digital-and-online-marketing/social-media-marketing/ai-social-media/

Jones, A. (2023, July 6). The AI Revolution: How Machine Learning is Transforming Social Media Marketing. https://www.kubbco.com/the-ai-revolution-how-machine-learning-is-transforming-social-media-marketing/

Murphey, D. (2023, August 18). How AI is enhancing digital marketing efforts. The Interline. https://www.theinterline.com/2023/08/03/how-ai-is-enhancing-digital-marketing-efforts/

Kitsios, F., & Kamariotou, M. (2021). Artificial Intelligence and business strategy towards Digital Transformation: A Research Agenda. Sustainability, 13(4), 2025. https://doi.org/10.3390/su13042025

Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542

Acar, A., Premasara, J. M., & Glen, J. S. (2011). An exploratory study about culture and marketing strategy. Asian Journal of Business Research, 1(1). https://doi.org/10.14707/ajbr.110007 DOI: https://doi.org/10.14707/ajbr.110007

Weissberger, A. (2021). Global AI In Telecommunication market size. Global AI in Telecommunication Market at CAGR ~ 40% through 2026 – 2027. IEEE. Retrieved from https://techblog.comsoc.org/2021/10/18/global-ai-in-telecommunication-market-at-cagr-40-through-2026-2027/#:~:text=The%20Global%20AI%20in%20Telecommunication,report%20by%20Research%20and%20Markets.

Bashang, S., & K, P. (2023). Journal of Economics and Management Studies, 2(3), 125–133. https://doi.org/10.56472/25835238/IRJEMS-V2I3P118

Drenik, G. (2023, August 23). Retail redefined: Ai’s affinity for personalized engagement. Forbes. https://www.forbes.com/sites/garydrenik/2023/08/22/retail-redefined-ais-affinity-for-personalized-engagement/?sh=4bbb815a7a3a

Frąckiewicz, M. (2023, August 22). Ai in HCI: How artificial intelligence is shaping the future of user-centered design. TS2 SPACE. https://ts2.space/en/ai-in-hci-how-artificial-intelligence-is-shaping-the-future-of-user-centered-design/

Haider, A., & Pugliesi, R. A. (2023). Enhancing human-computer interaction with Natural Language Processing and machine learning. Human-Computer Interaction. https://doi.org/10.31219/osf.io/mfbk8

Bhumi. (2023, August 11). The role of AI in Personalizing user experiences. Medium. https://bootcamp.uxdesign.cc/the-role-of-ai-in-personalizing-user-experiences-f3d980b89445

InnoHub. (2021, May 25). Emotion AI: The next step in business communication?. Bangkok Bank Innohub. https://www.bangkokbankinnohub.com/emotion-ai-the-next-step-in-business-communication/

Alkhaldi, N. (2022, May 4). Emotional AI: Are algorithms smart enough to decipher human emotions?. IoT For All. https://www.iotforall.com/emotional-ai-are-algorithms-smart-enough-to-decipher-human-emotions

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Published

15-03-2024

How to Cite

1.
Siricharoien WV. Elevating User-Centered Design with AI: A Comprehensive Exploration using the AI-UCD Algorithm Framework. EAI Endorsed Trans Context Aware Syst App [Internet]. 2024 Mar. 15 [cited 2024 Apr. 20];10. Available from: https://publications.eai.eu/index.php/casa/article/view/4211