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.
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Kayla Sanoy
Senior UX Researcher
With a background in marketing, research, and the arts, Kayla approaches every client project with creativity, results orientation, and attention to detail. With extensive experience building relationships with non-profits and local businesses, she has a passion for cultivating meaningful connections. She brings this people-focused passion to research with a focus on empathy. She particularly enjoys applying qualitative research methods to shape the future of consumer technology.
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Bold facts
Learn more about
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Something unique about you summed up in one sentence:
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Your favorite part of working at Bold Insight
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In your spare time (or if you had spare time), you would absolutely do this:
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Your favorite city in the world is...and why?
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You cannot start the day without doing this:
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Your ultimate celebrity dinner party guest list would include:
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Long-term personal or professional goal?
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Any other facts to share?
- Mastering the balance between moderation and facilitation in UX research
- The value of the daily fieldwork debrief: A critical piece of your UX research
- Conducting research with kids? Considerations for running studies with adolescent participants
- Bold Insight to present on co-creation methodology at 2023 UX Masterclass Leadership Series
- Six unique benefits of rolling research
- Moderating remote research sessions? 3 tips to help build rapport with participants
Read our team’s latest bold insights
AI benefits from GPU, not CPU advancements
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 critical component missing from AI technology
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.
Three things to improve acceptance of AI
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.