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Kaitlin brings to Bold Insight over 14 years of experience as a human factors engineer at medical device manufacturers. She has extensive experience in diabetes care products, software as medical device (SaMD), and complex drug delivery systems. Kaitlin has a passion for meeting design control and regulatory requirements while executing agile human factors programs of research. She has a BS in Psychology from Ball State University and an MS in Human Factors from Bentley University.
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As the robotics industry continues to find its way into our lives, we can begin to identify UX design principles to apply to this tech to increase the acceptance of robots and improve the human-robot interaction experience.
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.