具身化伴侣：视觉叙事中的交互伙伴
An Embodied Companion for Visual Storytelling
AI总结：
Companion通过结合绘图机器人与大语言模型，实现人机协同创作，推动视觉叙事的创新与美学探索。
摘要：
随着人工智能从单纯的工具转向自主协作，其在艺术领域的应用可以超越对机器自主性的探索，转向协同创作。尽管我们之前的机器人作品利用自动化将艺术家的意图与最终作品分离，我们提出了Companion：一种将绘图机器人与大型语言模型（LLMs）相结合的艺术装置，以重新聚焦人机互动。通过利用上下文学习和实时工具使用，系统通过语音和素描进行双向交互。这种方法将机器人从被动执行者转变为能驱动共享视觉叙事进入意外美学领域的玩伴。为验证这种协作转变，我们使用共识评估技术（CAT）与七位艺术界专家进行测试。结果证实，该系统生成的作品具有独特的美学特征和专业展览价值，展示了人工智能作为高度有能力的艺术合作者的潜力。
英文摘要：
As artificial intelligence shifts from pure tool for delegation toward agentic collaboration, its use in the arts can shift beyond the exploration of machine autonomy toward synergistic co-creation. While our earlier robotic works utilized automation to distance the artist's intent from the final mark, we present Companion: an artistic apparatus that integrates a drawing robot with Large Language Models (LLMs) to re-center human-machine presence. By leveraging in-context learning and real-time tool use, the system engages in bidirectional interaction via speech and sketching. This approach transforms the robot from a passive executor into a playful co-creative partner capable of driving shared visual storytelling into unexpected aesthetic territories. To validate this collaborative shift, we employed the Consensual Assessment Technique (CAT) with a panel of seven art-world experts. Results confirm that the system produces works with a distinct aesthetic identity and professional exhibition merit, demonstrating the potential of AI as a highly capable artistic collaborator.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
