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Web Directions Summit
Session Details
Personalised Curiosity: Why and how machine learning can keep your users surprised and engaged
Kazjon Grace Director speakerCompany
When machine learning is used to recommend content, it usually gives us more of what we already know we want. What if the opposite approach, piquing our interest in new content and driving us to explore the unfamiliar, turned out to be better for us all in the long run? This talk explores how an AI model of curiosity inspired by cognitive science can be used to encourage us to broaden our tastes.
Kazjon Grace
Dr Kazjon (Kaz) Grace’s research explores how computers can participate in the design process as partners rather than tools. His interests span computational design, computational creativity, HCI and AI. He develops computational models of novelty, surprise, and curiosity, and investigates how they can help people make decisions. Kaz's current work involves systems that encourage their users to broaden their horizons: to eat more diversely, to read more broadly, and to overcome design fixation.
Don't miss your chance to see Kazjon Grace and many other inspiring speakers at Web Directions Summit 17.
Tickets start at $999, for two in-depth days with the world's leading product, design and engineering experts.
Register Now
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