NIH-funded research U01 cooperative agreement

Creating tools to understand and assess hallucinations using smartphones

Official title: Developing Data-Driven Clinical Signatures for People Who Experience Hallucinations

Funded at University of Washington · NIH-11064084 · Data updated 2026-11-12

This study is looking for people who experience hallucinations to help test a new smartphone app that lets them share their thoughts and experiences in real-time, so we can better understand their needs and identify those who might be at risk for more serious mental health challenges.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionUniversity of Washington
NIH-funded
Lab location1 site (Seattle, United States)
Project startApril 1, 2024
Project endJanuary 31, 2029
Funding year2025
Award (this year)$2,139,265
NIH project number5U01MH135901-02
Project IDNIH-11064084 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates include individuals who experience hallucinations, whether as part of a mental disorder or in the general population.

Less likely to help

Patients who do not experience hallucinations or have conditions unrelated to hallucinations may not benefit from this research.

What this research studies

This research aims to develop innovative methods for assessing hallucinations through smartphone technology. Participants will use a mobile app to complete brief self-reports, audio diaries, and memory tasks in their everyday environments, allowing for a more accurate understanding of their experiences. By leveraging machine learning and computational methods, the study seeks to identify individuals at risk for severe mental health issues related to hallucinations. This approach moves beyond traditional clinical assessments, providing real-time data that can enhance risk evaluation.

Why it matters

Potential benefit: If successful, this research could lead to better identification and support for individuals experiencing hallucinations, potentially reducing hospitalizations and improving mental health outcomes.

How similar studies have gone: Other research has shown promise in using mobile technology for mental health assessments, indicating that this approach could be effective.

Where this research is happening

  • University of Washington
    Seattle, United States
    Active

Researchers

  • Principal investigator: Ben-Zeev, Dror — University of Washington
  • Study coordinator: Ben-Zeev, Dror

Related research

Other NIH-funded projects on the same topics.

  • Making genetic testing more accessible to the public

    This study is all about making it easier for people at risk of certain cancers, like breast, ovarian, and colon cancers, to get genetic testing, so we can find out what helps them access these important services and understand how they can benefit from them.

    NIH research University of Washington · Seattle, United States · NIH-9845571

  • Breast cancer diagnosis in low-resource settings using millifluidics and fast digital imaging in Ghana

    A new project will test a fast, low-cost way to diagnose breast cancer at the point of care in Ghana using small-batch fluidics and direct digital imaging.

    NIH research University of Washington · Seattle, United States · NIH-11645064

  • Binaural Hearing and Speech in Noise in Children

    This project explores how children hear speech in noisy classrooms using how the two ears work together to see if binaural processing differences explain why some kids struggle more than others.

    NIH research University of Washington · Seattle, United States · NIH-11631484

  • Neural circuits that control pain aversion in the brain

    Researchers are exploring how a specific brain area helps people feel and avoid pain, with potential to lead to better pain treatments.

    NIH research University of Washington · Seattle, United States · NIH-11629742

  • United World Antiviral Research Network (UWARN)

    A collaborative, international effort is testing new virus surveillance and evolution ideas to help people living with HIV and communities in LMICs stay safer from current and emerging viruses.

    NIH research University of Washington · Seattle, United States · NIH-11627864

  • HF endotypes in heart failure using ethical multi-modal AI and molecular data

    A patient-friendly project that uses advanced AI and multiple kinds of health data to identify distinct heart failure subtypes that could guide personalized care.

    NIH research University of Washington · Seattle, United States · NIH-11621806

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.