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Pathfinder Networks for Measuring Operator Mental Model Structure with a Simple Autopilot System

Authors :
Politowicz, Michael S.
Sato, Tetsuya
Chancey, Eric T.
Yamani, Yusuke
Source :
Proceedings of the Human Factors and Ergonomics Society Annual Meeting; September 2022, Vol. 66 Issue: 1 p883-887, 5p
Publication Year :
2022

Abstract

Pathfinder networks are a method to represent mental models from empirically generated pairwise relatedness ratings. This study examined the effects of training exposure on mental model structures based on relatedness ratings collected using the Target Rating method. Forty-eight participants read instruction slides with or without explicit information on the functionality of an autopilot system (Advanced Mental Model or Basic Mental Model groups, respectively). Participants provided relatedness ratings and completed a comprehension test. The Advanced Mental Model group had more common links with the expected model, higher within-group network similarity scores, and higher mental model assessment questionnaire scores than the Basic Mental Model group. Both groups had coherence scores above the minimum threshold for internal consistency. Pathfinder network analysis was sensitive to changes produced by a simple exposure training intervention. In practice, a simple training program may effectively influence operator mental models in novel technological environments such as Advanced Air Mobility.

Details

Language :
English
ISSN :
10711813 and 21695067
Volume :
66
Issue :
1
Database :
Supplemental Index
Journal :
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Publication Type :
Periodical
Accession number :
ejs61058727
Full Text :
https://doi.org/10.1177/1071181322661510