A proposal of a classification model for the cognitive workload of human activity in a context-aware system
DOI:
https://doi.org/10.4013/jacr.2014.41.02Abstract
The skill level of a person in processing information, reacting to his/her surroundings and decision making for performing an activity is determined by the allocation of the mental resources demanded by such activity. When the allocation is inappropriate, there is a higher possibility for some accident to occur. Thus, one can notice that the cognitive workload spent by the person is an important variable that can take him to a risky situation. Since it is not possible to measure the cognitive workload spent by a person during the performance of an activity directly, we noticed the need to evaluate the level of his/her performance in order to be possible to infer the cognitive workload used. So, we propose the creation of a model to classify the cognitive workload based on the behavioral model skill-rule-knowledge and the relations of performance properties with the context surrounding the person. The evaluation of the model was made using a public dataset and the results showed a promising approach for the classification of human performances.
Keywords: human activity, context-aware middleware, ubiquity, cognitive workload, human performance.
Downloads
Published
Issue
Section
License
I grant the Journal of Applied Computing Research the first publication of my article, licensed under Creative Commons Attribution license (which allows sharing of work, recognition of authorship and initial publication in this journal).
I confirm that my article is not being submitted to another publication and has not been published in its entirely on another journal. I take full responsibility for its originality and I will also claim responsibility for charges from claims by third parties concerning the authorship of the article.
I also agree that the manuscript will be submitted according to the journal’s publication rules described above.
