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Persona and Persuasive Framing in AI Voice Agents: A $2\times2$ Field Experiment with Children
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Thilo Tamme (Technical University of Munich), David Steck (Technical University of Munich), Anton Hantel (Massachusetts Institute of Technology)

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ResearcharXiv cs.AI

Persona and Persuasive Framing in AI Voice Agents: A $2\times2$ Field Experiment with Children

arXiv:2609.38782v1 Announce Type: new Abstract: Conversational agents increasingly interact with children, yet evidence on how their design shapes children's susceptibility to persuasion comes almost entirely from the lab. We report a $2\times2$ randomized field experiment embedded in a public German Santa Claus telephone hotline. Children's calls were randomly routed to one of four LLM voice agents varying persona (Santa, high authority, vs. Helper, low authority) and framing (persuasive nudges toward prosocial wishes vs. neutral). Of 1,072 logged calls, 89 conversations (median age 6) met inclusion criteria. Persuasive framing raised the probability of a prosocial wish from 11.6% to 45.7%, robust to controls. Persona authority showed a near-zero effect: Santa did not outperform the Helper. Persona instead shaped engagement; children hung up on the Helper far more often within the first minute (65% vs. 39%). Where context already lends an agent legitimacy, how it speaks shapes children's compliance more than who it claims to be.

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This story was published by arXiv cs.AI and written by Thilo Tamme (Technical University of Munich), David Steck (Technical University of Munich), Anton Hantel (Massachusetts Institute of Technology). SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on arxiv.org

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