Characterization of Mental Models in an Inductive Reasoning Task Using Measures of Situation Awareness

2010 ◽  
pp. 586-596
Author(s):  
Tao Zhang ◽  
David Kaber
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.

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