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.
Back to team page
Conor Mackin
Partner
With a background in human factors and over ten years of experience leading UX research, Conor is versed in both qualitative and quantitative research methods. He has worked in a variety of domains including defense, healthcare, energy, aeronautical, oil & gas, connected homes, and connected buildings. Conor has supported both the formative and summative aspects of the design process while being a passionate advocate for the end user. He has a BS in Psychology from Eckerd College.
Bold facts
Learn more about
Something unique about you summed up in one sentence
Your favorite part of working at Bold Insight
In your spare time (or if you had spare time), you would absolutely do this:
How long have you been in the UX field?
Your favorite city in the world is...and why?
Your ultimate celebrity dinner party guest list would include:
Long-term personal or professional goal?
Any other facts to share?
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.