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Nicole has over 10 years of experience as a mixed-methods researcher in human behavior and psychology. She has applied her expertise in experiment design, foundational research, and quantitative methods to a variety of research needs including product testing, digital solutions and AI applications, and medical device testing. Additionally, Nicole conducts research with special care toward accessibility and accommodations for aging or elderly populations, as well as individuals with memory deficits. Nicole has an MA in Cognitive Psychology and is currently completing her doctorate at 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.