ArticlemHealth2024
User perceptions and experiences of an AI-driven conversational agent for mental health support.
Article in mHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital front door technologies to pre-assess people before assessment for NHS Talking Therapies [HTE10055]: early value assessment.Health technology assessment (Winchester, England) · 2026Pooled it
- Sustainability of AI-Assisted Mental Health Intervention: A Review of the Literature from 2020-2025.International journal of environmental research and public health · 2025Pooled it
- Chatbot-Delivered Real-Time Support to Improve HIV Self-Testing Rates: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Are You Qualified, ChatGPT? Examining Clinical Skills and Competencies of ChatGPT in Delivering Systemic Interventions.Journal of marital and family therapy · 2026Article
- Health Care Professionals' Perspectives on Conversational Mental Health Chatbots: Protocol for a Systematic Review.JMIR research protocols · 2026Article
- "I Don't Trust AI": A Generic Qualitative Analysis of College-Aged Mental Health Clients' Perceptions of Artificial Intelligence Used in Mental Health Counseling.Behavioral sciences (Basel, Switzerland) · 2026Article
- Can Medical Chatbots Trigger Disinhibition and Encourage Health Information Disclosure?Healthcare (Basel, Switzerland) · 2026Article
- From Tool to Agent: A Semi-Systematic Review of Human-AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health.Healthcare (Basel, Switzerland) · 2026Review
- Digital Support for Family Caregivers: Potential and Challenges of a Hypothetical AI Care Companion.Healthcare (Basel, Switzerland) · 2026Article
- Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study.Journal of medical Internet research · 2026Article
- How Consistent Friendlike Conversation with AI Companions Influences Our Attitudes and Perceptions Toward AI: An Exploratory Experiment.Behavioral sciences (Basel, Switzerland) · 2026Article
- Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review.PLOS digital health · 2026Article
- A bridge, not a destination: YouTube viewer perspectives on AI mental health support and human therapy.Frontiers in digital health · 2026Article
- From predictive algorithms to generative intelligence: a decadal bibliometric mapping of global research frontiers in AI-driven mental health (2016-2025).Australian journal of psychology · 2026Review
- The conflict between need and fear: how privacy concerns moderate the influence of depression on university students' acceptance of AI music therapy.Frontiers in psychology · 2026Article
- Exploring Body Image Awareness With a Large Language Model-Based Conversational Agent: Qualitative Study With Young Adults.Journal of medical Internet research · 2025Article
- A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots: Conceptual Framework.JMIR mental health · 2025Article
- Charting the evolution of artificial intelligence mental health chatbots from rule-based systems to large language models: a systematic review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Physical activity in rehabilitation practice: Policy, infrastructure and development perspectives.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025Article
- Nursing Students' Perceptions of AI-Driven Mental Health Support and Its Relationship with Anxiety, Depression, and Seeking Professional Psychological Help: Transitioning from Traditional Counseling to Digital Support.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The increasing prevalence of artificial intelligence (AI)-driven mental health conversational agents necessitates a comprehensive understanding of user engagement and user perceptions of this technology. This study aims to fill the existing knowledge gap by focusing on Wysa, a commercially available mobile conversational agent designed to provide personalized mental health support. Methods: A total of 159 user reviews posted between January, 2020 and March, 2024, on the Wysa app's Google Play page were collected. Thematic analysis was then used to perform open and inductive coding of the collected data. Results: Seven major themes emerged from the user reviews: "a trusting environment promotes wellbeing", "ubiquitous access offers real-time support", "AI limitations detract from the user experience", "perceived effectiveness of Wysa", "desire for cohesive and predictable interactions", "humanness in AI is welcomed", and "the need for improvements in the user interface". These themes highlight both the benefits and limitations of the AI-driven mental health conversational agents. Conclusions: Users find that Wysa is effective in fostering a strong connection with its users, encouraging them to engage with the app and take positive steps towards emotional resilience and self-improvement. However, its AI needs several improvements to enhance user experience with the application. The findings contribute to the design and implementation of more effective, ethical, and user-aligned AI-driven mental health support systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.