Abstract
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.
Highlights
The mental resources of a person must be allocated in a way to encompass the demands of an activity for the performance to be adequate
The main contribution of this paper is the proposal of a model for the classification of the cognitive workload spent by a person during the performance of an activity in a contextaware system
We can notice the relevance of using performance properties for the inference of the cognitive workload, because they allow the system to adapt itself according to the changes in the behavior of the user
Summary
The mental resources of a person must be allocated in a way to encompass the demands of an activity for the performance to be adequate (i.e., lower chance of happening an accident). Even though there are neurophysiological sensors that can capture information such as pupil dilation and heart rate (Craven et al, 2007), this work considers that it is not possible to determine directly the cognitive workload used by a person and that there is “frequently a negative relationship between mental workload and performance” (Rantanen and Levinthal, 2005). This way, the higher the cognitive workload used in an activity, the worst its performance. We can observe in works that use the SRK model a tendency of using factors for the measurement of human performances, like the mentioned, for the classification of the cognitive workload (SBB, RBB or KBB) of their users/operators during the performance of the specific tasks of their systems (Lin et al, 2014; Woodcock, 2014; Skalle et al, 2014)
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