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Katie’s background in human-centered design, cultural analysis, and business positions her as both a creative and strategic thinker. She brings a cross-disciplinary understanding to ethnographic research and business analysis and has focused on various sectors including technology, e-commerce, entrepreneurship, and housing. She is driven by the desire to understand why people think the way they do and to find solutions for the everyday inconveniences. Katie graduated with a BA from the University of Notre Dame in American Studies with minors in Business Economics and Collaborative Innovation.
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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.