Using situation awareness measures to characterize mental models in an inductive reasoning task

2021 ◽  
pp. 1-24
Author(s):  
Tao Zhang ◽  
David Kaber ◽  
Maryam Zahabi
Keyword(s):  
Mental Models ◽  
Situation Awareness ◽  
Inductive Reasoning ◽  
Reasoning Task

Training Propositional Reasoning

2000 ◽  
Vol 53 (3) ◽  
pp. 868-895 ◽  
Author(s):  
Karl Christoph Klauer ◽  
Thorsten Meiser ◽  
Birgit Naumer
Keyword(s):  
Mental Models ◽  
Inductive Reasoning ◽  
Truth Table ◽  
Specific Training ◽  
Reasoning Task ◽  
Training Conditions ◽  
Domain Specific ◽  
Logical Connectives

Two experiments compared the effects of four training conditions on propositional reasoning. A syntactic training demonstrated formal derivations, in an abstract semantic training the standard truth-table definitions of logical connectives were explained, and a domain-specific semantic training provided thematic contexts for the premises of the reasoning task. In a control training, an inductive reasoning task was practised. In line with the account by mental models, both kinds of semantic training were significantly more effective than the control and the syntactic training, whereas there were no significant differences between the control and the syntactic training, nor between the two kinds of semantic training. Experiment 2 replicated this pattern of effects using a different set of syntactic and domain-specific training conditions.

Broadening the Measurement of Situation Awareness through Cognitive Engineering Methods

1997 ◽  
Vol 41 (1) ◽  
pp. 215-219 ◽  
Author(s):  
Nancy J. Cooke ◽  
Renée Stout ◽  
Eduardo Salas
Keyword(s):  
Mental Models ◽  
Situation Awareness ◽  
Situation Model ◽  
Current Situation ◽  
Cognitive Engineering ◽  
Situation Models ◽  
Cognitive Structures ◽  
Team Process ◽  
Situation Assessment ◽  
Engineering Approach

Situation awareness (SA) and team SA are popular concepts, yet vaguely defined and inadequately measured. They involve representations of the current situation, performance resulting from those representations, and cognitive structures and processes leading to those representations. Current measures of individual and team SA focus on the assessment of performance or the accuracy of the resulting situation model at the expense of other aspects of SA, such as situation assessment, mental models, and team process behaviors. As a result, these measures fail to capture the richness of the constructs of individual and team SA, critical for applications involving training and team SA. We propose that a cognitive engineering approach to measuring SA which focuses on the elicitation of the cognition underlying SA, can extend measurement by overcoming many of the current limits. As an illustration, the measurement of situation models using this approach is presented.

Mental Models, Situation Models, and Expertise in Flight Situation Awareness

2002 ◽  
Vol 46 (3) ◽  
pp. 377-381
Author(s):  
Mark T. Jodlowski ◽  
Stephanie M. Doane ◽  
Young Woo Sohn
Keyword(s):  
Mental Models ◽  
Cognitive Processes ◽  
Situation Awareness ◽  
Knowledge Organization ◽  
Situation Models ◽  
Specific Situation ◽  
Judgment Accuracy ◽  
The Third ◽  
Second Screen ◽  
Computer Based

The present research examines cognitive processes that support flight situation awareness (SA). Of particular interest is pilot access to condition-action rules that reflect their mental models of flight, and their ability to determine when the rules apply in the context of a specific situation. Pilots were asked to reason about events that take place during flight in multiple 3-screen computer-based trials. In each trial, the first screen indicated a control movement, the second screen depicted a meaningful flight situation, and the third screen indicated a flight situation change. Pilots were asked to judge whether the change depicted in the third screen was consistent with what was expected following application of the control movement depicted in the first screen to the flight situation depicted in the second screen. Judgment accuracy suggests superior access to mental models versus situation models, and systematic differences in knowledge organization as a function of piloting expertise.

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