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• W2940824926 abstract "Design ideation is a prime creative activity in design. However, it is challenging to support computationally due to its quickly evolving and exploratory nature. The paper presents cooperative contextual bandits (CCB) as a machine-learning method for interactive ideation support. A CCB can learn to propose domain-relevant contributions and adapt their exploration/exploitation strategy. We developed a CCB for an interactive design ideation tool that 1) suggests inspirational and situationally relevant materials (may AI?); 2) explores and exploits inspirational materials with the designer; and 3) explains its suggestions to aid reflection. The application case of digital mood board design is presented, wherein visual inspirational materials are collected and curated in collages. In a controlled study, 14 of 16 professional designers preferred the CCB-augmented tool. The CCB approach holds promise for ideation activities wherein adaptive and steerable support is welcome but designers must retain full outcome control." @default.
• W2940824926 created "2019-05-03" @default.
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• W2940824926 date "2019-05-02" @default.
• W2940824926 modified "2023-10-15" @default.
• W2940824926 title "May AI?" @default.
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• W2940824926 doi "https://doi.org/10.1145/3290605.3300863" @default.
• W2940824926 hasPublicationYear "2019" @default.
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