Plenary Speaker 8
Dr Pawan Vora
SUNY Buffalo, USA
Rethinking User-Centered Design in the Era of Artificial Intelligence
Artificial Intelligence (AI) has revolutionized various fields with its generative capabilities. Design is no exception, as AI continues to have a significant impact on the user-centered design (UCD) process. This presentation explores how AI is reshaping the UCD process, presenting designers with significant opportunities to enhance creativity and productivity, while also posing challenges and potential pitfalls for Human Factors designers and practitioners.
One area where AI is transforming the UCD process is in user research. It offers novel tools and methods for data collection and analysis, enabling the processing of vast amounts of data from diverse sources. This facilitates the extraction of meaningful insights that inform design decisions, including the development of user personas, scenarios, journey maps, and other design artifacts.
Another aspect of AI’s impact on the UCD process is seen during the design phase. Integration of AI tools introduces new avenues for ideation and prototyping. Designers benefit from AI-generated ideas and feedback based on data and design criteria. AI also serves as a co-creator by generating designs incorporating text, images, audio, video, animations, and code.
In the test and evaluation phase, AI plays a crucial role in generating scripts that simulate interactions between users and prototypes. This enables quick and cost-effective testing and validation of ideas. Natural language processing (NLP) can be employed to understand users’ sentiments expressed in text or speech, while computer vision can recognize users’ faces, gestures, and actions from images or videos.
However, designing with AI also presents significant challenges and risks for designers. AI systems are complex and dynamic, which can lead to unpredictable behavior. Therefore, designers must prioritize usability, trustworthiness, explainability, and ethics when working with AI systems. Addressing ethical considerations such as ownership, accountability, and transparency of AI-generated designs is essential. Furthermore, designers must ensure that algorithmic models are unbiased. Developing and adapting data literacy and computational thinking skills are crucial for designers to collaborate effectively and responsibly leverage AI inclusively.
Pawan Vora (PhD, SUNY Buffalo, USA) is a UI/UX professional with over two decades of experience in designing and evaluating user interfaces for websites and web applications. He has deep expertise in design patterns and is well-versed in a variety of web-related technologies. Pawan is also the author of Web Application Design Patterns, published by Morgan Kaufmann. He has a passion for teaching and has presented his research and conducted workshops on web-related topics at numerous conferences in the US and internationally. Pawan holds a Ph.D. in Industrial engineering from the State University of New York at Buffalo, USA.
"Developing and adapting data literacy and computational thinking skills are crucial for designers to collaborate effectively and responsibly leverage AI inclusively."
Professor David C. Caple
La Trobe University
Professor Arto Reiman
David J. Wortley
Professor Sidney W.A. Dekker
Professor Andrew Thatcher
University of the Witwatersrand
Hon. Dr. Palanivel Thiaga Rajan
Minister for Finance and Human Resources
Tamil Nadu, India
Dr. Sarita Dara
Civil Aviation Authority
Dr. Pawan Vora
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