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Lindsey brings extensive research experience in industry and academia, including formal training in ethnographic field methods, to help clients achieve their objectives. Lindsey excels in a range of UXR methodologies, research and workshop design, collaboration with cross-functional partners, and coordinating with / communicating insights to global partners. Now based in Paris, she has lived and worked in the US, Japan, Belgium, Germany, and France. Lindsey holds a PhD in Asian Languages & Cultures from UCLA.
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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.