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Anke has spent more than 7 years in the UX field. Much of her recent work has been in the healthcare space, specifically with medical device manufacturers to coordinate and execute human factors research programs. Her experience ranges from exploratory work, through small- and large-scale formative studies, to 510k validation studies, having supported successful submissions and several publications. With a background in social science, Anke enjoys interacting with people to better understand how the devices they interact with impact their lives, and how to optimize these tools to create better experiences. Anke has lived and studied in three countries and speaks German and French. Anke holds an MA in Social Science from the University of Chicago.
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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.