Setor Zilevu

Lead User Experience Researcher & Professor

New York University

Dr. Setor Zilevu is a Lead User Experience Researcher at Meta (Facebook) and a professor at New York University’s Tandon School of Engineering. Dr. Zilevu brings his expertise in computer engineering, computer science, and human-computer interaction to design innovative solutions to better understand human behavior and human knowledge. Dr. Setor Zilevu has a wealth of experience in developing innovative solutions to improve user experiences ranging from healthcare, education, retail, to social justice.

His dedication and commitment to improving the lives of stroke survivors earned him recognition as a 2022 Innovator Under 35 by MIT Technology Review. Through his work on developing the assistive interfaces for the world's first cyber-human system for stroke survivors and developing a framework for empowering humans through UX and Al, Dr. Zilevu has demonstrated his ability to seamlessly merge the fields of UX and AI. With his Ph.D. in Computer Science, focusing on understanding the mental models of therapists and clinicians, and his previous experience as a UX Researcher at Google, Dr. Zilevu is pushing the boundaries of what is possible in the field of human-computer interaction. As the youngest Ghanaian UX Ph.D. holder, Dr. Setor Zilevu hopes to make a lasting impact on the lives of people everywhere through the merger of UX and AI. In his free time, Dr. Zilevu enjoys indulging in his passions, including playing basketball, reading, and chess.

Human Intelligence Reimagined: UX Meets AI—the Next Frontier in Societal Technology

Explore how AI and UX can work together to enhance user experience in industries like education, retail, and healthcare. Discover how the innovative Z Methodology can seamlessly integrate human and computational intelligence to reveal and augment tacit human knowledge and behavior. Education, retail, and healthcare are three significant global areas that could greatly benefit from the merger of user experience research/design and artificial intelligence. The ongoing COVID-19 pandemic has brought these issues even more to the forefront as recurring lockdowns have forced people to stay at home, necessitating the transfer of services to virtual domains.

This talk will explore the application of human-computer interaction (HCI) for complex machine learning in embodied learning scenarios. The work described in this talk will apply a novel HCI methodology developed by Dr. Setor Zilevu to complex ML contexts to capture and assess how humans move, think, and learn in embodied spaces. Come join us in this exciting journey of understanding the potential of AI in the field of UX. With the Z Methodology, we will explore the possibilities of creating a new societal technology that is collaborative, human-centric, and empowering for all. Don’t miss out on the opportunity to learn about this cutting-edge approach and discover the potential of UX in AI.


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