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Explore a 20-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems that introduces cooperative contextual bandits (CCB) as a machine-learning method for interactive design ideation support. Discover how CCB can learn to propose domain-relevant contributions and adapt exploration/exploitation strategies in digital mood board design. Learn about a CCB-augmented tool that suggests inspirational materials, explores and exploits them with designers, and explains its suggestions to aid reflection. Gain insights from a controlled study where professional designers evaluated the tool's effectiveness in supporting creative activities while maintaining full outcome control.
