arXiv:2607.07952v1 Announce Type: cross Abstract: Motion and emotion are core parts of intelligent, expressive behavior. In this paper, we introduce fog, a function composition framework for implementing and compose motion functions. We demonstrate how fog can be used to express motion and emotion in Heider-Simmel style animations. This code generation framework can help users generate functions for verbs, adverbs, gestures, and emotions to create an open-ended motion vocabulary. It is complemented by an animation editor that helps users refine motion through direct manipulation and dynamicall
The proliferation of AI-generated content necessitates more sophisticated control mechanisms, and advancements in large language models enable more intuitive and expressive generation of complex behaviors like motion and emotion.
This development allows for more natural and adaptable interactions with AI-generated entities, expanding their utility in various applications from entertainment to assistive technologies.
The method of defining expressive behaviors for AI-driven animations and potentially robotics shifts from manual keyframing to high-level function composition, enabling greater flexibility and scalability.
- · AI content creators
- · Animation studios
- · Game development
- · Human-computer interaction researchers
- · Traditional animation tool vendors
- · Manual motion capture specialists
AI-generated characters and interfaces will exhibit more nuanced and believable behaviors.
The accessibility of expressive AI will democratize content creation and enable novel interactive experiences.
This could accelerate the development of more empathetic and human-like AI companions and assistants as emotional expression becomes more sophisticated.
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