LLM responses mirror venting with higher regulation and escalation; therapist personas lower escalation while preserving regulation, and lay raters miss escalation.
A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces bounded relational presence as a designable, tunable, and withdrawable quality for conversational AI that supports engagement while avoiding claims of personhood or human equivalence.
citing papers explorer
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When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking
LLM responses mirror venting with higher regulation and escalation; therapist personas lower escalation while preserving regulation, and lay raters miss escalation.
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Designing for Being-With: Presence Without Personhood in Conversational Human-AI Interaction
Introduces bounded relational presence as a designable, tunable, and withdrawable quality for conversational AI that supports engagement while avoiding claims of personhood or human equivalence.