Online Assessment of Pandemic-Triggered Traumatic Stress: Towards Developing Assistive AI Technologies [Funder: Carleton University COVID-19 Rapid Research Response Grants]

Grant number: unknown

Grant search

Key facts

  • Disease

    COVID-19
  • Funder

    Other Funders (Canada)
  • Principal Investigator

    Kenta Asakura, Amedeo D'Angiulli
  • Research Location

    Canada
  • Lead Research Institution

    Carleton University
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    Innovation

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

In the face of uncertainty and disruption to normalcy, the COVID-19 pandemic is causing much stress in people's lives. Due to physical distancing measures, mental health therapists have shifted to providing services using videoconferencing platforms (e.g., Zoom). While these platforms will likely remain a predominant service delivery model for the time being, little is known about whether and how therapists can accurately assess clients' mental health when having to rely on their 2-D images on screen. To lay the groundwork for ultimately designing assistive AI technologies for online therapies, this interdisciplinary (social work and neuroscience) team will collaborate with Spreedix, a local AI start-up, and identify the level of severity and the types of stress responses to pandemic trauma presented online. We will collect data from therapists' assessment of simulated clients (i.e., trained actors) on Spreedix's mobile app and employ various AI algorithms to identify verbal and non-verbal stress signals.