Adjusting Cognitive Loads of Operators from Visual Inputs

Simulation-based training is an critical supplement to current clinical training. However, implementing simulation technology into a curriculum to maximize training outcomes still presents a significant challenge. It is important to consider multiple factors and their impact on trainee cognitive load. In the past, we have adjusted the target stability to manage the cognitive load of surgical trainees. This study aims to regulate cognitive load by adjusting target visual conditions. Participants will perform a thread ring passing task under three visual conditions: high, neutral, and low resolution views. The study investigates how changes in visual conditions can affect cognitive load and training outcome. This research may lead to more effective simulation curriculum design. The task will be performed in collaboration with scientists at the National Taiwan University of Science and Technology. One intern (Yun Wu, a PhD student), will be supported by GRA funds for 12 weeks.

Faculty Supervisor:

Bin Zheng

Student:

Partner:

National Taiwan University of Science and Technology

Discipline:

Life Sciences

Sector:

Education

University:

University of Alberta

Program: