Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 11, 2024
Date Accepted: Sep 22, 2025

The final, peer-reviewed published version of this preprint can be found here:

A Rule-Based Conversational Agent for Mental Health and Well-Being in Young People: Formative Case Series During the Rise of Generative AI

Wrightson-Hester AR, Anderson G, Dunstan J, McEvoy PM, Sutton CJ, Myers B, Egan S, Tai S, Johnston-Hollitt M, Chen W, Gedeon T, Tindall IK, Moullin JC, Mansell W

A Rule-Based Conversational Agent for Mental Health and Well-Being in Young People: Formative Case Series During the Rise of Generative AI

JMIR Form Res 2025;9:e69841

DOI: 10.2196/69841

PMID: 41325605

PMCID: 12706453

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Manage Your Life Online a Logic-Based Chatbot: Case-Series Examining Effectiveness and User Experience After the Release of Chat-GPT

  • Aimee-Rose Wrightson-Hester; 
  • Gee Anderson; 
  • Joel Dunstan; 
  • Peter M McEvoy; 
  • Christopher J Sutton; 
  • Bronwyn Myers; 
  • Sarah Egan; 
  • Sara Tai; 
  • Melanie Johnston-Hollitt; 
  • Wai Chen; 
  • Tom Gedeon; 
  • Isabeau K Tindall; 
  • Joanna C Moullin; 
  • Warren Mansell

ABSTRACT

Background:

There is a shortage of services available to address the growing demand for mental health support in Australia and worldwide. Digital interventions, including conversational agents, can overcome barriers to accessing mental health support. The recent advances in large language models (LLMs) have led to an improvement in the perceived human-like naturalness of chatbot conversations, but there is little research on the experience and efficacy of chatbots to support mental health. Manage Your Life Online (MYLO) is a rule-based chatbot that was co-designed with young people that uses questions to help users explore their problems. In a case series conducted prior to the release of ChatGPT, users rated a new smartphone interface for MYLO acceptable and results demonstrated a reduction in problem-related distress.

Objective:

To assess a later version of MYLO’s impact on target outcomes over a four-week period in a sample of young people with lived experience of anxiety and/or depression. We hypothesized that these results would replicate the previous case-series for problem-related distress, anxiety, psychiatric impairment and goal conflict reorganization. We also anticipated the longer usage time would lead to improvements on general health, depression and self-efficacy. We also aimed to compare the user experience of MYLO in this case-series to the previous version that was completed in November 2022.

Methods:

We replicated and extended the previous two-week case-series, conducted in September to November 2022, by testing four-week usage of MYLO, in October to December 2023, with a larger sample. To do this we recruited 24 young people living in Western Australia who self-described as having lived experience of anxiety and/or depression. Participants had access to and used MYLO over a four-week period while completing online weekly surveys that included a range of health and psychological questionnaires. After the four-week testing phase participants were invited to attend either an interview or focus group to provide feedback on their experience of using MYLO.

Results:

We found improvements in problem-related distress (d = -1.07), anxiety (d = -0.41) and psychiatric impairment (d = 0.60) and some evidence of reliable improvement in clinical outcomes. However, satisfaction with MYLO conversations was rated more poorly compared to the previous study. In qualitative interviews, participants spoke about their experiences with ChatGPT (released in November 2022 after the previous case-series concluded) and other generative AI tools, stating that they had expected MYLO to possess similar functionality.

Conclusions:

These findings have implications for mental health chatbots in the age of ChatGPT and highlight a need for researchers to engage with new technologies to improve user experience, while maintaining necessary safety and ethical standards.


 Citation

Please cite as:

Wrightson-Hester AR, Anderson G, Dunstan J, McEvoy PM, Sutton CJ, Myers B, Egan S, Tai S, Johnston-Hollitt M, Chen W, Gedeon T, Tindall IK, Moullin JC, Mansell W

A Rule-Based Conversational Agent for Mental Health and Well-Being in Young People: Formative Case Series During the Rise of Generative AI

JMIR Form Res 2025;9:e69841

DOI: 10.2196/69841

PMID: 41325605

PMCID: 12706453

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.