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Allison’s background is rooted in anthropology and software design. She is passionate about working to better understand interactions between humans and the tools they use in their everyday lives. In the past, Allison has leveraged multiple methods and approaches to lead research studies, in a wide range of industries, including financial technology, telecommunications, medical technology, and manufacturing. Allison has a BA in Anthropology from Western Kentucky 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.