Text Generation Based on Empathetic Dialogues between Nurses and Patients

DOI

10.2991/cnci-19.2019.79How to use a DOI?

Keywords

Emotion analysis, empathy, man-machine dialog, emotional perception.

Abstract

The communication between nurses and patients plays an important role in medical work. Perception and expression of emotions are key factors in the nurse-patient dialogue system. Using empathy between nurses and patients can make their communication more effective. With the development of artificial intelligence, an important research direction of computer-aided diagnosis is to enable computers to perceive the emotions of nurses and patients, and to make situational responses to specific emotions. This paper, we present a virtual machine model based on deep learning, which is used to simulate the emotional expression of empathy dialogue between nurses and patients. Firstly, the emotional expression between nurses and patients is simulated by embedding the text dialogue of emotion category, then the attention mechanism is used to capture the changes of emotion in the text dialogue, and finally, the words with emotion are used to express the emotion explicitly. The results of the experiment indicate that the proposed model can not only generate the content in accordance with the dialogue scenario, but also generate emotions.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wenxu Shi
AU  - Zuyue Shang
AU  - Shengli Bao
AU  - Guoyong Li
PY  - 2019/05
DA  - 2019/05
TI  - Text Generation Based on Empathetic Dialogues between Nurses and Patients
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 569
EP  - 578
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.79
DO  - 10.2991/cnci-19.2019.79
ID  - Shi2019/05
ER  -