Online 3D Assessment of Visuospatial Function Using the Shepard-Metzler Mental Rotation Task
Student:
Randy Essikpe
Mentors:
Dr. Scott Beeman, PhD – Arizona State University, SBHSE
Dr. Sydney Schaefer, PhD – Arizona State University, SBHSE
Dr. Vincent Pizziconi, PhD – Arizona State University, SBHSE
YouTube Link:
View the video link below before joining the zoom meeting
Zoom Link:
https://asu.zoom.us/j/89536277491
Abstract
Over the years, the Shepard-Metzler Mental Rotation Task (MRT) has proven to be a reliable tool for assessing people's visuospatial ability. Researchers have found that the 3D MRT eliminates gender biases that come up with the 2D mental rotation task. The study hypothesizes that the online 3D MRT provides a better assessment of visuospatial function than the 2D online MRT. This study involves developing an online 3D MRT program and then allow participants to perform the task on both 3D and 2D platforms to better compare and understand how well people interact with their visuospatial environment.
The Ursina Engine is being used to create the online 3D MRT software program using the Python programming language. The research will be completed in both 2D and 3D online formats, with the outcomes assessed. The participant accuracy and reaction time in performing the task will be useful in determining how people interact with their visuospatial surroundings. The results and conclusion of this research study will help inform other researchers about more improved ways of assessing visuospatial function. It will also help in the design of better therapeutic routines for patients with motor impairments.