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Claire’s unique engineering background involving building physical prototypes to be used in participant research allows her to bring valuable design-driven product insights to each project. Her engineering experience with various phases of product design and development allows her to see a bigger picture of devices and the vitality of focusing on the user’s experience throughout this entire process. She is passionate about human factors research in the medical device industry. Claire has a BS in Bioengineering from the University of Pittsburgh.
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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.