TACHISTOSCOPE ON A VIRTUAL REALITY PLATFORM TO IMPROVE MEMORIZATION AND INCREASE RAPID RECOGNITION
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Authors
Pugh, Brian T.
Subjects
memorization
rapid recognition
tachistoscope
human performance
virtual reality
threat vehicle identification
TVI
naturalistic decision making
recognition-primed decision making
rapid recognition
tachistoscope
human performance
virtual reality
threat vehicle identification
TVI
naturalistic decision making
recognition-primed decision making
Advisors
Kennedy, Quinn
Date of Issue
2022-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This work investigates whether a tachistoscope on a virtual reality (VR) platform can increase one’s ability to memorize and rapidly recognize objects. Theses abilities are relevant to an array of military requirements. Current procedures mostly utilize flash cards and PowerPoint slides. A tachistoscope (ta-kiss-stow-scope) is an image-flashing device with precise control of the image presentation time. Since the early 1900s they were used to assist with memorization and recognition. One famous example is work done by Renshaw in the 1940s to improve pilots’ ability to recognize tanks, aircraft, and ships (Renshaw, 1945). Our study utilized this technique on modern-day VR and computer platforms. It simplified the use of a tachistoscope and will enable units to customize training packages. This study trained individuals to recognize 40 aircraft over eight training sessions. Training session one began with ten aircraft, and five aircraft were added in each subsequent session. Questions captured three variables: correct/incorrect answer, reaction time, and confidence. Participants were in one of three groups: tachistoscope on a VR platform, tachistoscope on laptop, or computer-based flashcard (control). Results indicate a significant increase in memorization from pretest to posttest for all groups. Furthermore, there was a nonsignificant improvement in reaction time from pretest to posttest across all groups.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
ONR
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Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.