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October 9, 2025Open Access

Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health

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Authors

JKJabari KwesiJCJiaxun CaoRMRanjit Manchanda

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Overview

Qualitative analysis explores privacy attitudes and misconceptions in users of general-purpose LLM chatbots, suggesting potential implications for mental health support.

Key Points

  • Users exhibited a general lack of risk awareness in utilizing general-purpose LLM chatbots for mental health.
  • Participants confused empathetic responses from LLMs with accountability expected from human therapists, impacting their security perceptions.
  • The concept of 'intangible vulnerability' highlights how emotional disclosures are undervalued, with recommendations to enhance privacy safeguards.
  • Emphasizing user security in mental health disclosures is crucial, as many believe their interactions align with regulated therapy standards like HIPAA.

Cite This Study

Kwesi et al. (2025) studied this question.

synapsesocial.com/papers/68e8439a9989581a2fd4e2f4https://doi.org/10.48550/arxiv.2507.10695
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Also Consider

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