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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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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.
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.
If we are approaching a rapid technology shift as some experts predict, core UX design principles will have to be redefined to adapt to radically different interaction models.
Manufacturers building an ecosystem of devices and services should design for both a separate, personalized experience and household or shared experience.