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COFI is informed by the literature on human collaboration, CSCW, computational creativity, and human-computer co-creativity. Although the AI algorithm is capable of providing intriguing contributions to the creative process, the interaction design is inadequate for collaboration between human and AI. A framework for interaction design is necessary to explain and explore the possible interaction spaces and compare and evaluate the interaction design of existing co-creative systems for improving the practice of interaction modeling in co-creative systems. AFM ordering. The magnetic topological materials with kagome lattices adds magnetic frustration and large density of electronic states to systems with topological protection. We coded a dataset of existing 92 co-creative systems using COFI and analyzed the data to show how COFI provides a basis to categorize the interaction models of existing co-creative systems. However, it is very difficult to adequately extract the relationship between different images using traditional 2D convolutional layers because a new dimension of different images is added compared to a single image (we will verify this in the ablation study of Section IV). Lauren and Magerko investigated whether the user experience is improved with a turn-taking model applied to Lumin AI, a co-creative dance partner, through an empirical study (Winston and Magerko, 2017). However, their results showed negative user experience with a turn-taking model compared to a non-turn taking model

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