oculearn poster for bioe day_almostfinal (1)
TRANSCRIPT
Problem
Need Statement
Training Based on Expert Movement Data
Oculearn Solution
Real-Time Matching to Training Module
Student View of Training Module
Error: 0.09
First Person View Guided to Correct Motion Statistics and Analytics
Capture the Student Register the Expert Model Determine the Di�erence
Record Expert Actions Extract Expert Model Build Training Module
Practice Time Practice Time
Pro�
cien
cy
Pro�
cien
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Ideal Learning Curve Current Learning Curve Wasted Time
Oculearn: First Person Motion Learning for HealthcareRyan Rightmer
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USAScott ThompsonTim FoltsAnisha Butala Piyusha Gade
Oculearn trains healthcare students to perform new techniques by providing
information derived from expert actions from a �rst person perspective
Key Bene�ts - Student view from instructor perspective - In-depth performance metrics - Compatible with other tools - Reduces early learning confusion
Training of dental students requires the development of �ne motor skills. Training simulators provide very good practice scenarios but do not provide su�cient feedback informing students how to correct mistakes. As it exists right now, the training feedback loop is simply practicing the procedure and being informed of how well they performed afterwards leading to
ine�cient learning.
A need exists to instruct students in how to correct their mistakes and learn the appropriate techniques without overly
monopolizing the time of the instructor.