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Celine Lenoble

I am Director of UX Research at brainlabs where I lead a team of CRO analysts and UX researchers with diverse backgrounds. I believe in a holistic approach to UX research and design combining all perspectives: Human Computer Interaction, design thinking, psychology, sociology, anthropology and all methods: from big data to ethnographic study. I am particularly interested in the UX of ML-powered products & services. Disclaimer: opinions represented here are personal and do not represent those of brainlabs.

With ML facing so many users, there is a case to approach the conception and design of ML-powered applications from a UX research perspective. Read more to find out.

How Can User Experience Research (UXR) Help Build Users Trust in AI Systems and Increase Engagement?
  • The article covers the conception and design of ML-powered applications from a UX research perspective.
  • The author unpacks the following ideas:
    • Machine Learning and Real Users
    • Machine Learning and The Theory of Machine
    • Mental Models and User Engagement with Machine Learning Apps
Share:How Can User Experience Research (UXR) Help Build Users Trust in AI Systems and Increase Engagement?
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How Can User Experience Research (UXR) Help Build Users Trust in AI Systems And Increase Engagement?

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