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Ashley Buck

Senior UX Researcher

Ashley has over five years of experience in the medical device industry. Her background in the social sciences supports project teams as they explore how a user’s prior knowledge, skills, and experiences influence their product interactions. She has engaged in multidisciplinary research with vulnerable populations, such as children and rare patient groups. Ashley has a MS in Experimental Psychology with a concentration in Engineering Psychology from the Rochester Institute of Technology.

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Ashley

Something unique about you summed up in one sentence:

I love to make art (mostly digital) and try out new mediums.

In your spare time (or if you had spare time), you would absolutely do this:

I would continue to travel the globe.

Your favorite city in the world is...and why?

Kyoto for the beautiful architecture, food, and nature.

You cannot start the day without doing this...

Making an espresso (or two).

Long-term personal or professional goal:

To mentor new UX and human factors researchers.

Best piece of advice you’ve been given:

To embrace a life of imbalance.

What superpower would you most want?

It would be cool to be like Storm in X-Men.

What is your favorite way to give back to the community?

I try to live sustainably and I participate in sustainability-oriented events.
Read Ashley's bold insights

Read our team’s latest bold insights

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.

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Recruiting methods and study logistics for human factors and user research

A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.

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