Date of Award

2008

Degree Type

Thesis

Degree Name

Master of Engineering Science

Program

Electrical and Computer Engineering

Supervisor

Dr. R. Eagleson

Abstract

A means of assessing human performance as it relates to telesurgery is critical in an age where computer-assisted surgery is becoming more commonplace in operating rooms around the world. This is particularly true when a human is controlling the robotic instruments over a considerable geographic distance; unpredictable delays in data transmission over a network can degrade the human-computer system performance. As the delay is increased, so too will the overall time to complete a given task along with its associated error rate. However, objective measures on the effect on performance are needed. The methodology developed here is based on Fitts’ paradigm; a framework that can be used to quantify human performance under simulated latency conditions. Data gathered from the software developed in this thesis shows a strong, positive, linear correlation between a subject’s performance and the imposed task latency. This coincides with similar studies performed using the same paradigm, demonstrating the usefulness of such a methodology with respect to systems for telesurgery and training.

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