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Yvette’s background is in human factors engineering and human-system integration (HSI) research. She has designed methodologies, defined project scope, planned research activities, and supervised programs of research as well as individual research projects involving medical devices, touch screen interfaces, websites, and enterprise applications. In her most recent role, Yvette managed the Human Factors research programs for multi-million-dollar client accounts within the healthcare sector. She is a member of HFES, AAMI, and the Epsilon Mu Eta honor society. Yvette has an MS in Engineering Management with a certificate in HSI from the University of Missouri.
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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.