Kids' Interactions with LLM Chatbots: What Drives Human-Like Connections and Results
| Source: Mastodon | Original article
Researchers study how kids interact with AI chatbots, focusing on anthropomorphism. A systematic review examines drivers and outcomes of this phenomenon.
A systematic review of children's interactions with large language model (LLM) chatbots has shed light on anthropomorphism, the tendency to assign human characteristics to non-human objects. The study, published on arxiv.org, analyzed 35 empirical studies from 2022 to 2025 to identify drivers and outcomes of anthropomorphism in these interactions.
This research matters because understanding how children interact with LLM chatbots can inform the development of more effective and responsible AI systems. By recognizing the factors that contribute to anthropomorphism, developers can design chatbots that are both engaging and safe for young users.
As the field of LLM chatbots continues to evolve, it will be important to watch for further studies on anthropomorphism and its implications for AI design and education. This review builds on previous research, including a study on young children's anthropomorphism of AI chatbots and brain activation, and another on children's and adolescents' anthropomorphic conceptions of social robots and chatbots. Future research should continue to explore the complex relationships between children, AI, and anthropomorphism.
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