Paper
Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes
Authors
John Driscoll, Yulin Chen, Viki Shi, Izak Vucharatavintara, Yaxing Yao, Haojian Jin
Abstract
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.
Metadata
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Raw Data (Debug)
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.03727v1</id>\n <title>Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes</title>\n <updated>2026-03-04T05:00:14Z</updated>\n <link href='https://arxiv.org/abs/2603.03727v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.03727v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>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.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.HC'/>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.AI'/>\n <published>2026-03-04T05:00:14Z</published>\n <arxiv:comment>33 pages, 10 figures, Accepted to ACM CHI 2026</arxiv:comment>\n <arxiv:primary_category term='cs.HC'/>\n <author>\n <name>John Driscoll</name>\n </author>\n <author>\n <name>Yulin Chen</name>\n </author>\n <author>\n <name>Viki Shi</name>\n </author>\n <author>\n <name>Izak Vucharatavintara</name>\n </author>\n <author>\n <name>Yaxing Yao</name>\n </author>\n <author>\n <name>Haojian Jin</name>\n </author>\n </entry>"
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