通过LLM驱动的故事讲述与社交机器人促进儿童的创造力
Maha Elgarf1, Hanan Salam1, Christopher Peters2
1Social Machines and Robotics Lab (SMART), Department of Computer Science, New York University in Abu Dhabi (NYUAD), Abu Dhabi, United Arab Emirates.
Frontiers in robotics and AI
|December 30, 2024
概括
社交机器人可以促进儿童的创造力. 与创造性,自主机器人的互动显著提高了儿童的讲故事创造力,与非创造性或较少自主机器人的互动不同.
科学领域:
- 儿童发展 儿童发展
- 人与机器人的交互
- 教育中的人工智能
背景情况:
- 由于表达受限,孩子们进入学校时的创造力下降.
- 社交机器人显示出提高儿童教育成绩的潜力.
- 调查儿童机器人相互作用以刺激创造力至关重要.
研究的目的:
- 通过儿童机器人交互来探索刺激儿童的创造力.
- 评估机器人行为 (创造性与非创造性) 对儿童创造力的影响.
- 为了比较机器人自主水平 (奥兹魔法师与自主) 在培养创造力.
主要方法:
- 为创造性和非创造性机器人行为微调大型语言模型 (LLM).
- 进行了两项与儿童使用社交机器人进行讲故事任务的研究.
- 通过流性,灵活性,阐述性和原创性指标来评估创造力.
主要成果:
- 当一个由巫师控制的机器人表现出创造性与非创造性行为时,没有发现任何显著的影响.
- 与创造性自主机器人互动的儿童表现出更高的流性,灵活性和精细化.
- 与非创造性的自主机器人相比,自主创意机器人显著提高了儿童的创造力.
结论:
- 机器人的自主程度显著影响儿童的学习和创造力.
- 设计特定的机器人行为是最大限度地学习儿童机器人交互的关键.
- 创造性自主社会机器人显示出在教育环境中培养儿童创造力的前景.
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