See Like Me: Non-Psychotic Phenotypes of Schizophrenia Spectrum in VR

Keywords: Phenomenology, Self-disorders, Schizophrenia, Virtual Reality

Description: A VR-based tool for visualizing and assessing anomalous experiences associated with schizophrenia. The application recreates and combines a series of traits within the EAWE (Examination of Anomalous World Experience) and EASE (Examination of Anomalous Self Experience) symptoms checklist to:

1) sensitize clinicians to the anomalies of their patients

2) help undiagnosed patients recognize their symptoms

3) pave a path for more accurate and early identification.

This project was selected by the Harvard Innovation Labs during the spring semester of 2020 and is still in development.

Role: Researcher, Programmer, Sound Designer

Other Members: V. Danry (MIT), L.Casamajor (Harvard), L. Bishop (Harvard), R. Slater (MIT)