OTAIHCMay 30, 2025

Artificial Empathy: AI based Mental Health

arXiv:2506.00081v26 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of limited access to mental health care by evaluating AI chatbots, though it is incremental in highlighting existing limitations rather than proposing new solutions.

The study examined how people use AI chatbots for mental health support, finding they serve as brief therapists or non-judgmental companions, but identified issues like privacy concerns and inconsistent responses, including inappropriate tones and poor crisis sensitivity.

Many people suffer from mental health problems but not everyone seeks professional help or has access to mental health care. AI chatbots have increasingly become a go-to for individuals who either have mental disorders or simply want someone to talk to. This paper presents a study on participants who have previously used chatbots and a scenario-based testing of large language model (LLM) chatbots. Our findings indicate that AI chatbots were primarily utilized as a "Five minute therapist" or as a non-judgmental companion. Participants appreciated the anonymity and lack of judgment from chatbots. However, there were concerns about privacy and the security of sensitive information. The scenario-based testing of LLM chatbots highlighted additional issues. Some chatbots were consistently reassuring, used emojis and names to add a personal touch, and were quick to suggest seeking professional help. However, there were limitations such as inconsistent tone, occasional inappropriate responses (e.g., casual or romantic), and a lack of crisis sensitivity, particularly in recognizing red flag language and escalating responses appropriately. These findings can inform both the technology and mental health care industries on how to better utilize AI chatbots to support individuals during challenging emotional periods.

Foundations

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