01627nas a2200253   4500000000100000000000100001008004100002260001200043653001200055653003100067653001200098653001200110653001900122100001800141700001500159700001500174700001300189245010100202856008100303300001100384490000600395520095800401022001401359       2020                            d  c12/202010aEmotion10aBehavioral Characteristics10aValence10aArousal10aClassification1 aMartin Magdin1 aD. Držík1 aJ. Reichel1 aS Koprda00aThe Possibilities of Classification of Emotional States Based on User Behavioral Characteristics  uhttps://www.ijimai.org/journal/sites/default/files/2020-11/ijimai_6_4_10.pdf  a97-1040 v63 aThe classification of user's emotions based on their behavioral characteristic, namely their keyboard typing and mouse usage pattern is an effective and non-invasive way of gathering user's data without imposing any limitations on their ability to perform tasks. To gather data for the classifier we used an application, the Emotnizer, which we had developed for this purpose. The output of the classification is categorized into 4 emotional categories from Russel's complex circular model - happiness, anger, sadness and the state of relaxation. The sample of the reference database consisted of 50 students. Multiple regression analyses gave us a model, that allowed us to predict the valence and arousal of the subject based on the input from the keyboard and mouse. Upon re-testing with another test group of 50 students and processing the data we found out our Emotnizer program can classify emotional states with an average success rate of 82.31%.  a1989-1660