Masters Theses

Mental models in airborne landmine detection

Keywords and Phrases

Mental model

Abstract

"Automatic detection algorithms still fall short of the performance achieved by human analysts or the "warfighter-in-the-loop" (WIL) for the airborne detection of landmines and minefields...Researchers at the University of Missouri--Rolla have developed two MATLAB-based interfaces to evaluate minefield detection performance for the WIL. I conducted two sets of experiments utilizing each of these interfaces. The first experiment focused on individual landmine detection and had twenty participants. The second experiment focused on minefield detection and had ten participants. In these experiments, I primarily utilized qualitative data collection techniques to examine WIL performance in landmine/minefield detection. The effect of various factors including the availability of automatic target recognition (ATR), availability of zoom and time constraints, geographic background, and time of day on operator performance were evaluated. The results of the experiments highlighted the characteristics of the two different types of participants - referred to as "caution" and "aggressive" p and the four different mental models used by participants - labeled as "isolated object", "pattern", "topographic/logical placement" and "RX trust" - to identify landmines and minefields"--Abstract, page iv.

Department(s)

Business and Information Technology

Degree Name

M.S. in Information Science and Technology

Publisher

University of Missouri--Rolla

Publication Date

Fall 2005

Pagination

xi, 74 pages

Rights

© 2005 John William Brown, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Land mines -- DetectionMines (Military explosives) -- DetectionHuman-computer interaction

Thesis Number

T 8858

Print OCLC #

70842719

This document is currently not available here.

Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

Share

 
COinS