Human-Computer Collaboration offers great potential for explorative and creative problem-solving strategies. While previous work in HCI and ML mainly focuses on exploiting either human or machine capabilities, the concept of collaboration suggests work on equal terms to achieve synergy effects. The uncertain nature of creative problems raises new questions regarding the adaptability of systems to changing objectives in iterative processes. We present a collaborative system for mood board design based on a state-of-the-art contextual bandit structure that is able to iteratively adapt to changing behaviors, and moves autonomously through solution spaces to propose suitable contributions. Besides the technical implementation, we discuss the need for further research on collaborative interaction behaviors between humans and machines.
Citation: Koch, Janin. 2018. "Contextual Bandits for Design: A Human-Computer Collaboration Approach." Workshop paper CHI Conference Extended Abstracts on Human Factors in Computing Systems.
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