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Combining direct manipulation and prompting in AI-powered animation tools

Determine how to design AI-powered animation tools that combine direct manipulation interfaces (e.g., timeline-based or systems like DirectGPT) with natural language prompting to streamline the definition and editing of animated properties.

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Background

The paper observes that many animators are accustomed to timeline-based, direct manipulation tools (e.g., After Effects) and that different tasks may benefit from different interaction modes: transforms can be faster via direct manipulation, while more complex or non-translational animations may be easier through prompting.

Building on Keyframer’s prompt-driven workflow with code/property editors, the authors identify a specific open question about how best to blend direct manipulation with prompting to achieve efficient and precise control over animated properties.

References

An open question is how to design future AI-powered animation tools combining the affordances of direct manipulation (such as that offered with ) with prompting for streamlining the definition and editing of animated properties.

Keyframer: Empowering Animation Design using Large Language Models (2402.06071 - Tseng et al., 8 Feb 2024) in Section 7: Discussion, Mixing prompting and direct manipulation