All Stories

  1. A Digital Mental Health Intervention for Paranoia (the STOP App): Qualitative Study on User Acceptability
  2. Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement
  3. A Digital Mental Health Intervention for Paranoia (the STOP App): Qualitative Study on User Acceptability (Preprint)
  4. Reducing Medical Students’ Ethnic Bias Toward Indigenous Population (Māori) Using Digital Training
  5. User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia
  6. The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations
  7. Mind Over Prejudice: An Implicit Bias Training in Medical Education Using Cognitive Bias Modification
  8. I Have a Dream…Altering New Zealand Medical Students’ Interpretation Bias of Māori in Healthcare Using Cognitive Bias Modification (CBM)
  9. Comparing ChatGPT’s ability to rate the degree of stereotypes and the consistency of stereotype attribution with those of medical students in New Zealand in developing a similarity rating test: a methodological study
  10. Look into my eyes: a “faceless” avatar interviewer lowers reporting threshold for adult eyewitnesses
  11. The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations (Preprint)
  12. The avatar face-off: a face(less) avatar facilitates adults’ reports of personal events
  13. User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia (Preprint)
  14. Don’t send an avatar to do a human’s job: investigating adults’ preferences for discussing embarrassing topics with an avatar
  15. Investigating Event Memory in Children with Autism Spectrum Disorder: Effects of a Computer-Mediated Interview