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With a background in marketing, research, and the arts, Kayla approaches every client project with creativity, results orientation, and attention to detail. With extensive experience building relationships with non-profits and local businesses, she has a passion for cultivating meaningful connections. She brings this people-focused passion to research with a focus on empathy. She particularly enjoys applying qualitative research methods to shape the future of consumer technology.
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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.