Development And Testing Of A Non-Linear Context Aware
Prompting System To Assist Individuals With Cognitive Disabilities In The
Completion Of Pre-Determined Vocational Tasks In A Warehouse Environment
Team: Alyssa Sawyer (Bioengineering M.S. student)
Will use of a newly developed non-linear context-aware
prompting system improve performance of individuals with a cognitive disability
when completing pre-determined vocational tasks in a warehouse setting?
Common Methods of Accommodation require Assistance
Technology is being developed to decrease and
eliminate the need for job coaches
Prompting Methods are an important component of the
Understanding the tasks is a critical component of
designing the system
Designing an indoor navigation smart cart user
interface for adult warehouse workers with traumatic brain injury and/or
intellectual and developmental disabilities
Team: Allison Schultz (Mechanical Engineering M.S. student), Eric Gunther, M.S.
Will this smartCART User interface be able to guide
people with Moderate Cognitive disability through a warehouse setting?
The smartCART uses RFID antennas (on the cart), and passive RFID tags (dispersed throughout the carehouse) to determine location within the warehouse. Currently, the user interface is located on a PC.
An android application is currently being developed to implement the user interface onto a tablet, which will be mounted on the cart.
Various way-finding images, icons, and animations are being explored to determine the best method to communicate navigational information to persions with mild to moderate intellectual or developmental disabilities.
Measuring physiological parameters via wrist-worn
sensors, predicting mental stress based on these parameters, and implementing
Team: Corey Mattson (Bioengineering Doctoral student)
Impulse Control Difficulties Are One of the main reasons People With
Cognitive Disabilities Struggle to Hold Jobs
Prolonged or excessive stress negatively impacts
Abandonment Rates May Potentially decrease if device
assimilates with current trends
Many Relevant parameters can be indirectly measured
from the wrist
The physiological data can be fed into an algorithm to
predict mental state and then employ appropriate interventions