Modeling and Measuring for Emotion Communication based on DIKW

Abstract

Traditional expression of emotion generally uses tone of voice or modality to express emotion content of a sender. There are limitations in expression space and personal differences in cognition, which can lead to misunderstanding. To solve these problems, we propose an emotion communication method based on Data, Information, Knowledge and Wisdom (DIKW). Firstly, the content expression of a sender transforms into Data, Information and Knowledge type resources by conceptualizing and abstracting for personalised services. In order to reduce unnecessary input costs, analysis of a sender purpose regulates the range of Data, Information, Knowledge and the transmission range of Data, Information, Knowledge. The order of priority for transferring them is in descending order of weight. Then, reshaping emotion content forms a topology that matches a receiver cognition ability to achieve a certain level of accuracy and efficiency transmission. Finally, using value-oriented assessment of emotion communications and blocking intrusions achieves a certain accuracy and efficiency and secure transmission.