**4. Conclusion**

This chapter explores the potential of Kansei engineering implementation in e-Learning analysis and design. E-Learning development is lacking in terms of defining the emotional aspects for design. Thus, this chapter has attempted to engineer emotion in e-Learning system design to fill in the gap of design requirements geared to learners' emotional responses.

Kansei engineering has been adopted to analyze learners' psychological needs and desire in an e-Learning system. In this study, psychological factors are represented by Kansei words to classify them into the concept of emotion in e-Learning systems. Using principal component analysis, factor analysis, and partial least square, this study finds that harmony is the emotion that has the highest influence to the design concept of interface of e-Learning systems.

The proposed method in this study can be used for more specific object, for example, the content of learning material, in order to provide the proper learning material based on learners' psychological aspects.

Further study is proposed to investigate e-Learning system using Kansei engineering based on wider population and demography, to investigate e-Learning interface design elements in more detail. It is critical to explore design element more detail in order to enhance open source platform of e-Learning system based on learners' emotion.
