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Kaitlin (known to many by their nickname Indy) approaches every project with the multidisciplinary lens of 5+ years of experience in both human factors and UX. Their passion lies in human factors studies, ranging from complex drug delivery systems to software as medical device (SaMD). Their research background in linguistic and business anthropology offers clients insight from various industries that can be applied to every research question. Kaitlin has a BA in Cultural Anthropology and an MA in Business and Organizational Anthropology from Wayne 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.