Adoración Antolí

Cognitive flexibility and adaptability to environmental changes in dynamic complex problem-solving tasks

People who show good performance in dynamic complex problem-solving tasks can also make errors. Theories of human error fail to fully explain when and why good performers err. Some theories would predict that these errors are to some extent the consequence of the difficulties that people have in adapting to new and unexpected environmental conditions. However, such theories cannot explain why some new conditions lead to error, while others do not. There are also some theories that defend the notion that good performers are more cognitively flexible and better able to adapt to new environmental conditions. However, the fact is that they sometimes make errors when they face those new conditions. This paper describes one experiment and a research methodology designed to test the hypothesis that when people use a problem-solving strategy, their performance is only affected by those conditions which are relevant to that particular strategy. This hypothesis is derived from theories that explain human performance based on the interaction between cognitive mechanisms and environment.

Cognitive inflexibility and the development and use of strategies for solving complex dynamic problems: effects of different types of training

Performance in dynamic complex problem tasks is affected by cognitive inflexibility, whereby people are sometimes unable to adapt their strategies to unexpected changes in their surroundings. This cognitive inflexibility only affects a persons performance when the environmental changes are relevant to the particular problem-solving strategy that they are using. This paper describes a new methodology to detect cognitive flexibility in the use of strategies and presents an experiment designed to test the hypothesis, proving that the type of training affects cognitive flexibility.

Evaluating mental workload while interacting with computer-generated artificial environments

Abstract The need to evaluate user behaviour and cognitive efforts when interacting with complex simulations plays a crucial role in many information and communications technologies. The aim of this paper is to propose the use of eye-related measures as indices of mental workload in complex tasks. An experiment was conducted using the FireChief® microworld in which user mental workload was manipulated by changing the interaction strategy required to perform a common task. There were significant effects of the attentional state of users on visual scanning behavior. Longer fixations were found for the more demanding strategy, slower saccades were found as the time-on-task increased, and pupil diameter decreased when an environmental change was introduced. Questionnaire and performance data converged with the psychophysiological ones. These results provide additional empirical support for the ability of some eye-related indices to discriminate variations in the attentional state of the user in visual–dynamic complex tasks and show their potential diagnostic capacity in the field of applied ergonomics.