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title: [2607.18250] Anthropomorphism in Children's Interactions...
description: A systematic literature review of 35 empirical studies (2022–2025) examining how and why children anthropomorphize LLM-based chatbots. Key drivers identified...
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og:description: A systematic literature review of 35 empirical studies (2022–2025) examining how and why children anthropomorphize LLM-based chatbots. Key drivers identified...
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# [2607.18250] Anthropomorphism in Children's Interactions with LLM Chatbots: A Systematic Review of Drivers and Outcomes

**[Hacker News](https://daily.dev/sources/hn)** · 2 min read · 0 upvotes · 0 comments

## Summary

A systematic literature review of 35 empirical studies (2022–2025) examining how and why children anthropomorphize LLM-based chatbots. Key drivers identified include human-like persona construction, adaptive scaffolding, supportive companionship, and non-human embodied design. Five anthropomorphic outcomes were found: paradoxical social and moral responses, dual consciousness about chatbots, varying social ties, exploration of social boundaries, and attributing human narratives to conversation breakdowns. The findings highlight both benefits and risks, with implications for designing child-focused LLM chatbots that support well-being and developmental needs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://arxiv.org/abs/2607.18250>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#bots](https://daily.dev/tags/bots), [#ethical-ai](https://daily.dev/tags/ethical-ai), [#human-computer-interaction](https://daily.dev/tags/human-computer-interaction)

[View this post on daily.dev](https://daily.dev/posts/2607-18250-anthropomorphism-in-children-s-interactions-with-llm-chatbots-a-systematic-review-of-d-vc0ocdnvo)

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