“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health

npj Mental Health Research, Год журнала: 2024, Номер 3(1)

Опубликована: Окт. 27, 2024

Abstract The global mental health crisis underscores the need for accessible, effective interventions. Chatbots based on generative artificial intelligence (AI), like ChatGPT, are emerging as novel solutions, but research real-life usage is limited. We interviewed nineteen individuals about their experiences using AI chatbots health. Participants reported high engagement and positive impacts, including better relationships healing from trauma loss. developed four themes: (1) a sense of ‘ emotional sanctuary’ , (2) insightful guidance’ particularly relationships, (3) joy connection ’, (4) comparisons between therapist ’ human therapy. Some themes echoed prior rule-based chatbots, while others seemed to AI. emphasised safety guardrails, human-like memory ability lead therapeutic process. Generative may offer support that feels meaningful users, further needed effectiveness.

Язык: Английский

---

Introducing CounseLLMe: A dataset of simulated mental health dialogues for comparing LLMs like Haiku, LLaMAntino and ChatGPT against humans

Emerging Trends in Drugs Addictions and Health, Год журнала: 2025, Номер unknown, С. 100170 - 100170

Опубликована: Янв. 1, 2025

Язык: Английский

---

Generative Artificial Intelligence in Mental Healthcare: An Ethical Evaluation

Current Treatment Options in Psychiatry, Год журнала: 2024, Номер 12(1)

Опубликована: Дек. 9, 2024

Язык: Английский

---

Evaluating the Efficacy of Amanda: A Voice-Based Large Language Model Chatbot for Relationship Challenges

Computers in Human Behavior Artificial Humans, Год журнала: 2025, Номер unknown, С. 100141 - 100141

Опубликована: Март 1, 2025

Язык: Английский

---

Assessing the Role of Large Language Learning Models and Artificial Intelligence in Improving Oncology Survivorship Care: A Comparative Study of ChatGPT and Gemini

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 15, 2025

Purpose Artificial intelligence (AI)-powered large language models (LLMs) are being increasingly utilized in healthcare, yet their ability to deliver accurate, guideline-consistent information oncology survivorship care remains insufficiently evaluated. This study assessed the performance of ChatGPT-4, ChatGPT Strawberry, and Gemini providing evidence-based responses related domains including nutrition, exercise, mental health, long-term effects cancer treatment. Methods A set predefined questions on was submitted each LLM. Two independent evaluators using five quality metrics: clarity, coherence, completeness, factual accuracy, relevance. Inter-rater reliability calculated Cohen’s kappa. Differences AI were examined descriptive statistics, paired t-tests, mixed-effects assess variations by model, topic domain, question complexity. Results agreement high (κ = 0.83), with highest coherence 0.98) lowest accuracy 0.70). Strawberry consistently outperformed both ChatGPT-4 across most domains, especially hormone-related symptoms (p < 0.001). performed comparably fertility sexual health but lagged exercise nutrition. demonstrated scores all metrics. Notably, higher-complexity yielded stronger completeness compared medium-complexity items Conclusions LLMs show potential as tools for education, though remain limitations. consistent high-quality performance. Implications Cancer Survivors may supplement offering timely, information. However, given current limitations, these should complement clinician guidance, ongoing validation ensure safe integration into care.

Язык: Английский

---

Introducing CounseLLMe: A dataset of simulated mental health dialogues for comparing LLMs like Haiku, LLaMAntino and ChatGPT against humans

Опубликована: Май 23, 2024

We introduce CounseLLMe as a multilingual, multimodal dataset of 400 simulated mental health counselling dialogues between two state-of-the-art Large Language Models (LLMs). These conversations - 20 quips each were generated either in English (using OpenAI's GPT 3.5 and Claude-3's Haiku) or Italian (with Haiku LLaMAntino) with prompts tuned also the help professional psychotherapy. investigate resulting through comparison against human on same topic depression. To compare linguistic features, knowledge structure emotional content LLMs humans, we employed textual forma mentis networks, i.e. cognitive networks where nodes represent concepts links indicate syntactic semantic relationships dialogues' quips. find that LLM-LLM matches one humans terms patient-therapist trust exchanges, 1 5 contain along 10 conversational turns versus $24\%$ rate found humans. ChatGPT Haiku's patients can reproduce feelings conflict pessimism. However, display non-negligible levels anger/frustration is missing LLMs. LLMs' are worse reproducing patterns. All reproduced patterns increased absolutist pronoun usage second-person, trust-inducing, therapists. Our results realistically several aspects thusly release public for novel data-informed opportunities machine psychology.

Язык: Английский

---

Pain recognition and pain empathy from a human-centered AI perspective

iScience, Год журнала: 2024, Номер 27(8), С. 110570 - 110570

Опубликована: Июль 24, 2024

Sensory and emotional experiences are essential for mental physical well-being, especially within the realm of psychiatry. This article highlights recent advances in cognitive neuroscience, emphasizing significance pain recognition empathic artificial intelligence (AI) healthcare. We provide an overview development process computational neuroscience regarding mechanisms empathy. Through a comprehensive discussion, delves into critical questions such as methodologies AI recognizing from diverse sources information, necessity to exhibit responses, associated advantages obstacles linked with AI. Moreover, insights prospects challenges emphasized relation fostering By delineating potential pathways future research, aims contribute developing effective assistants equipped capabilities, thereby introducing safe meaningful interactions between humans AI, particularly context health

Язык: Английский

---

ChatGPT as a psychotherapist for anxiety disorders: An empirical study with anxiety patients

Nutrition and Health, Год журнала: 2024, Номер unknown

Опубликована: Окт. 7, 2024

this study aims to investigate the role of ChatGPT as a psychotherapist for anxiety disorders, examining its effectiveness, acceptability, and potential benefits among individuals with disorders.

Язык: Английский

---

"It just happened to be the perfect thing": Real-life experiences of generative AI chatbots for mental health

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 12, 2024

The global mental health crisis underscores a critical need for accessible and effective interventions. Generative artificial intelligence (AI) chatbots, such as ChatGPT, are emerging novel solution, but research into their real-life usage is limited. We interviewed nineteen individuals about experiences of using generative AI chatbots to work on health. Most participants reported high levels engagement positive impacts, including improved mood, reduced anxiety, healing from trauma loss, relationships. Our analysis resulted in four overarching themes: 1) the value an ‘emotional sanctuary’, i.e., safe, validating space that always available, 2) ‘insightful guidance’ provided, particularly topic relationships, 3) ‘joy connection’ experienced, 4) comparisons between ‘AI therapist’ human therapy. Some these themes echo previous rule-based while others appear be AI. Participants highlighted better approach safety guardrails, more human-like memory ability lead therapeutic process. findings suggest may offer meaningful support, further needed explore effectiveness.

Язык: Английский

---

On a key mission to support academic engagement for trainee and early career psychiatrists: A scientific journal by trainees, for trainees

International Journal of Psychiatric Trainees, Год журнала: 2024, Номер 2(2)

Опубликована: Дек. 20, 2024

By Asilay Seker, Filipa Santos Martins & 8 more. This editorial focuses on the role of International Journal Psychiatric Trainees in supporting academic engagement early career mental health professionals.

Язык: Английский

---