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Use of Soft-Computing Techniques to Study the Influence of External Factors during the Emotional Evaluation of Visual Stimuli



Author(s)

Arturo Peralta, Antonio Fernández-Caballero, José M. Latorre, José A. Olivas and Eduardo Conde

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DOI:10.17265/2328-2223/2018.02.008

At present, all people know that, during the performance of any activity, each person is always under the influence of a set of external factors that can influence in their results. In fact, all people know that factors such as hour, accumulated fatigue, or mood, can be very influential in the productivity. However, there are other less studied factors that can equally be influential, to a greater or lesser extent. For this reason, in the present work are used different techniques belonging to Soft Computing, with the objective of detecting those most influential factors by the execution of a set of experiments under different simulated circumstances in a controlled environment.

Emotional interpretation, pattern recognition, decision trees, clustering.