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Kim has 20+ years’ experience in mixed methods user research, experience design and strategy, and in-house research team management at Fortune 500 companies. She thrives on leveraging her knowledge of both UX design and research to help drive empathetic and forward-thinking solutioning, and is especially passionate about bridging business KPIs and user insights to propel measurable and meaningful impact. She has an MS with Distinction in Human-Computer Interaction from DePaul University.
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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.