Chatbot Research: A List of Publications sorted by interest area

Here is a brief list of recent publications from the Journal of Medical Internet Research (going back two years max) examining a variety of mental health-related applications of chatbots/chatGPT/conversational agents.

Systematic Assessment (e.g., scope, characteristics, quality)

A Mental Health and Well-Being Chatbot: User Event Log Analysis

https://mhealth.jmir.org/2023/1/e43052

Providing Self-Led Mental Health Support Through an Artificial Intelligence–Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care

https://www.jmir.org/2023/1/e46448

Scope, Characteristics, Behavior Change Techniques, and Quality of Conversational Agents for Mental Health and Well-Being: Systematic Assessment of Apps

https://www.jmir.org/2023/1/e45984

A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study

https://www.jmir.org/2023/1/e43051

Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review

https://www.jmir.org/2023/1/e40789

User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

https://humanfactors.jmir.org/2023/1/e47564

Examining Patient Engagement in Chatbot Development Approaches for Healthy Lifestyle and Mental Wellness Interventions: Scoping Review

https://jopm.jmir.org/2023/1/e45772

Mental Health Assessment

Validity of Chatbot Use for Mental Health Assessment: Experimental Study

https://mhealth.jmir.org/2022/10/e28082

Ethical Considerations

Ethical Considerations of Using ChatGPT in Health Care

https://www.jmir.org/2023/1/e48009

Ethical Challenges in AI Approaches to Eating Disorders

https://www.jmir.org/2023/1/e50696

Adolescent Mental Health (e.g., assessing mood)

Assessing Mood with the Identifying Depression Early in Adolescence Chatbot (IDEABot): Development and Implementation Study

https://humanfactors.jmir.org/2023/1/e44388

Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study

https://formative.jmir.org/2022/11/e4024

Using Chatbot Technology to Improve Brazilian Adolescents’ Body Image and Mental Health at Scale: Randomized Controlled Trial

https://mhealth.jmir.org/2023/1/e39934

Sexual Health

Chatbots to Improve Sexual and Reproductive Health: Realist Synthesis

https://www.jmir.org/2023/1/e46761

Eating Disorders/Weight Loss

The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study

https://formative.jmir.org/2022/1/e28003

Ethical Challenges in AI Approaches to Eating Disorders

https://www.jmir.org/2023/1/e50696

The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations

https://medinform.jmir.org/2022/4/e32578

Chronic Pain

Delivery of a Mental Health Intervention for Chronic Pain Through an Artificial Intelligence–Enabled App (Wysa): Protocol for a Prospective Pilot Study

https://www.researchprotocols.org/2022/3/e36910

Substance Abuse

Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial

https://formative.jmir.org/2022/5/e33037

Quit Smoking

Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care

https://mhealth.jmir.org/2022/6/e34273

Chatbots for Smoking Cessation: Scoping Review

https://www.jmir.org/2022/9/e35556

Stress and Anxiety

Assessing the Impact of Conversational Artificial Intelligence in the Treatment of Stress and Anxiety in Aging Adults: Randomized Controlled Trial

https://mental.jmir.org/2022/9/e38067

A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study

https://formative.jmir.org/2022/10/e37877

Emotion

Designing Emotions for Health Care Chatbots: Text-Based or Icon-Based Approach

https://www.jmir.org/2022/12/e39573

Join Artificial Intelligence in Mental Health

Despite increasing access to digital mental health care, mental health outcomes continue to worsen, emphasizing the need for genuine innovation in digital mental health. AI has the potential to be a cornerstone of this innovation. Still, there are significant gaps, challenges, and opportunities in applying AI in the mental health field, including (1) the limited availability of quality data, (2) the risk of perpetuating bias and stigmatization leading to incorrect diagnoses or treatment recommendations, (3) concerns about privacy and data protection, (4) lack of standardization making it difficult to extrapolate innovations to a wide range of patient populations and settings, (5) technical challenges including developing appropriate language models, data engineering, and management, and (6) a need for more rigorous scientific research that includes appropriate methodologies for testing the efficacy of AI models.

The group's objective is to provide a forum for discussing and promoting innovative solutions to these challenges. I believe the next generation of digital mental health tools will offer superior privacy and actual innovation rather than the illusion of it, leading to improved mental health outcomes for all.

Join here or send me a message:?https://www.dhirubhai.net/groups/14227119/

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