abstract: Minimally invasive surgery is a surgical technique that is known for its reduced
patient recovery time. It is a surgical procedure done by using long reached tools and an
endoscopic camera to operate on the body though small incisions made near the point of
operation while viewing the live camera feed on a nearby display screen. Multiple camera
views are used in various industries such as surveillance and professional gaming to
allow users a spatial awareness advantage as to what is happening in the 3D space that is
presented to them on 2D displays. The concept has not effectively broken into the
medical industry yet. This thesis tests a multi-view camera system in which three cameras
are inserted into a laparoscopic surgical training box along with two surgical instruments,
to determine the system impact on spatial cognition, perceived cognitive workload, and
the overall time needed to complete the task, compared to one camera viewing the
traditional set up. The task is a non-medical task and is one of five typically used to train
surgeons’ motor skills when initially learning minimally invasive surgical procedures.
The task is a peg transfer and will be conducted by 30 people who are randomly assigned
to one of two conditions; one display and three displays. The results indicated that when
three displays were present the overall time initially using them to complete a task was
slower; the task was perceived to be completed more easily and with less strain; and
participants had a slightly higher performance rate. / Dissertation/Thesis / Masters Thesis Human Systems Engineering 2019
| Identifer | oai:union.ndltd.org:asu.edu/item:53914 |
| Date | January 2019 |
| Contributors | Schroll, Katelyn (Author), Cooke, Nancy J (Advisor), Chiou, Erin (Committee member), Craig, Scotty (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 50 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/ |
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