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With a background in interdisciplinary social sciences, Christina has been trained in various qualitative research methods. Her human factors expertise includes consulting on products from early-stage exploratory research through end stage validation studies, and she has supported several successful submissions. She collaborates with clients to design programs of research and decide on optimal methodologies, while supervising individual research projects involving medical devices and digital health management platforms. Christina holds a BA in Comparative Human Development and an MA in the Social Sciences from the University of Chicago.
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As the robotics industry continues to find its way into our lives, we can begin to identify UX design principles to apply to this tech to increase the acceptance of robots and improve the human-robot interaction experience.
A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.