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Maggie brings a background in psychology and human factors research with experience in both qualitative and quantitative methods. Her experience as a behavioral therapist, where she gathered insights from children with Autism, and working with neurodegenerative diseases, such as Alzheimer’s and Dementia, translates to a unique passion for product accessibility and usability. Maggie has a BA in Psychology from Butler 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.