With the increased use of computers, electronic devices and human interaction with computer in the broad spectrum of human life, the role of controlling emotions and increasing positive emotional states becomes more prominent. If a user’s negative emotions increase, his/her efficiency will decrease greatly as well. The reduced effectiveness not only increases the number of errors, it may also cause great irreparable problems for professional users.
Emotional control helps one avoid negative emotional states. On the other hand, with an increase in computer programs, graphical interfaces of applications play a major role in computer programs by establishing direct communication with users. Furthermore, research has shown that colors are to be considered as one of the most influential basic functions in sight, identification, interpretation, perception and senses. It can be said that colors have impact on individuals’ emotional states and can change them. In this paper, by learning the reactions of users with different personality types against each color, communication between the user’s emotional states and personality and colors were modeled for the variable “emotional control”. For the sake of learning, we used a memory-based system with the user’s interface color changing in accordance with the positive and negative experiences of users with different personalities. For evaluation and testing, we used a C++ programming language system in three different modes: (1) basic mode without any color change, (2) color change via AUBUE method, and (3) color change using the memory-based learning method. Each method was tested by 8 men and 8 women separately. In addition, this tool was used by 30 individuals for testing the third method, and one-way ANOVA was used for the data analysis. The end result of comparison of the testing methods demonstrated the superiority of memory-based learning in all three parameters of emotional control, enhancement of positive emotional states and reduction of negative emotional states. Moreover, the accuracy of memory- based learning method was almost 70 % percent. Hence, by learning about users’ experiences of each color and by considering their personality, we can control users’ emotional states precisely enough.
- F. Noori, and M. Kazemifard, “AUBUE An Adaptive User-Interface Based on Users Emotions”, in Journal of Computing and Security, Volume 3, No. 2, April, 2016.
- F. Noori, M. Kazemifard, and J. Karami, “An Addaptive Color Change of User-Interface Based on User’s Mood and Emotion, Using Memory-based System ”, in 12th International Conferences on Engineering & Technology, Oslo & Norway, June, 2019.
- F. Noori, M. Kazemifard, and J. Karami, “Control the emotion based on color of user-interface memory based”, in In 4th international Conference on Modern Studies in Computer Science & IT, Iran, February, 2018, (Persian).
- F. Noori, and M. Kazemifard, “Adapting User Interface Color in Shape Gusseing Game based on Mood and Emotion of Users”, in In Proceedings of First National Conference on Computer Games Challenges Opertunities, Iran, September, 2016, (Persian).