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  • 标题:A proposal of a classification model for the cognitive workload of human activity in a context-aware system
  • 本地全文:下载
  • 作者:Bruno Romero de Azevedo ; Alfredo del Fabro Neto ; Rafael Boufleuer
  • 期刊名称:Journal of Applied Computing Research
  • 印刷版ISSN:2236-8434
  • 出版年度:2014
  • 卷号:4
  • 期号:1
  • 页码:13-22
  • DOI:10.4013/jacr.2014.41.02
  • 语种:English
  • 出版社:Journal of Applied Computing Research
  • 摘要: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.
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