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Ryan’s background is at the intersection of research and storytelling. This experience allows him to effectively find qualitative and quantitative trends with a product and craft an effective narrative around those trends. With 8 years of experience in the UX field, Ryan executed projects with multiple methods and approaches, spanning multiple industries, including automotive, energy, and consumer technology. Ryan has also worked on medical studies across various stages of development, from early formative to validation, and a wide variety of devices. A member of UXPA, Ryan has an MA in Digital Storytelling and MS in Information and Communication Sciences from Ball State University.
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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.
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.