父母担忧孩子与AI聊天机器人互动，希望有更精细的管控工具。
Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes
- 用大模型生成儿童与AI对话场景，验证真实感
- 24位家长认为现有控制工具忽略关键风险点
- 需按年龄和教养策略个性化调整对话管控
本研究探讨父母如何希望监管孩子与生成式AI聊天机器人的互动，以指导未来家长控制工具的设计。我们首先利用大模型生成合成的儿童-生成式AI聊天对话场景，并与四位家长共同验证其真实性。基于此数据集，精选出12个具有不同担忧程度且被评定为最真实的案例，每个案例包含一个提示和生成式AI的回复。将这些案例呈现给24位家长，询问他们是否感到担忧、原因以及期望如何修改并传达回复。研究发现三个关键洞察：（1）父母关注当前生成式AI家长控制工具所忽视的互动风险；（2）父母希望在对话层面实现细粒度透明与调控；（3）需要根据父母的教育策略和孩子的年龄提供个性化控制选项。
原文摘要 · Abstract (English)
This paper studies how parents want to moderate children's interactions with Generative AI chatbots, with the goal of informing the design of future GenAI parental control tools. We first used an LLM to generate synthetic child-GenAI chatbot interaction scenarios and worked with four parents to validate their realism. From this dataset, we carefully selected 12 diverse examples that evoked varying levels of concern and were rated the most realistic. Each example included a prompt and a GenAI chatbot response. We presented these to parents (N=24) and asked whether they found them concerning, why, and how they would prefer the responses to be modified and communicated. Our findings reveal three key insights: (1) parents express concern about interactions that current GenAI chatbot parental controls neglect; (2) parents want fine-grained transparency and moderation at the conversation level; and (3) parents need personalized controls that adapt to their desired strategies and children's ages.
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