Optimizing AI-driven mental health app and V1

  • Research type

    Research Study

  • Full title

    OPTIMIZING MENTAL HEALTH APP DESIGN WITH HUMAN-CENTERED ARTIFICIAL INTELLIGENCE FOR ONCOLOGY CARERS AND CAREGIVERS

  • IRAS ID

    369486

  • Contact name

    Chizoba Agwaonye

  • Contact email

    agwachi@uwl.ac.uk

  • Sponsor organisation

    University of West London

  • Duration of Study in the UK

    0 years, 4 months, days

  • Research summary

    This study explores how artificial intelligence (AI) can be used to improve mental health support for oncology carers and caregivers. Oncology caregivers, whether family members or healthcare professionals, often experience emotional strain, stress, anxiety, and burnout. Although many mental health apps now include AI chatbots (computer programs that simulate conversation), most are not specifically designed with oncology caregivers in mind. As a result, these tools may not fully meet their needs.
    The research question: How can an AI-driven mental health app be designed in a way that is trustworthy, useful, and emotionally supportive for oncology caregivers in the United Kingdom?
    This is a qualitative co-design study, meaning participants will actively help design and improve the app. Around 10 to 15 adult oncology caregivers (aged over 18) will take part. Participants must currently provide, or have previously provided, care for someone with cancer and be able to communicate in English.
    The study will take place in the UK and will involve four interactive workshops. In Workshop 1, participants will discuss their caregiving experiences. In Workshop 2, they will test an existing AI mental health app called Wysa and share their thoughts. In Workshop 3, they will suggest new features and improvements. In Workshop 4, they will review and refine a prototype design.
    There are no direct medical risks. However, discussing emotional experiences may cause mild distress, and support information will be provided if needed.
    The study is sponsored by the University of West London and forms part of a PhD research project. The findings will inform the design of a safer, more effective, and user-centered AI-driven mental health app for oncology caregivers.

  • REC name

    London - Hampstead Research Ethics Committee

  • REC reference

    26/LO/0466

  • Date of REC Opinion

    16 Jun 2026

  • REC opinion

    Unfavourable Opinion