Masters Theses


Mental models in airborne landmine detection

Keywords and Phrases

Mental model


"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.


Business and Information Technology

Degree Name

M.S. in Information Science and Technology


University of Missouri--Rolla

Publication Date

Fall 2005


xi, 74 pages


© 2005 John William Brown, All rights reserved.

Document Type

Thesis - Citation

File Type




Subject Headings

Land mines -- Detection
Mines (Military explosives) -- Detection
Human-computer interaction

Thesis Number

T 8858

Print OCLC #


Link to Catalog Record

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