CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement
Learning
- URL: http://arxiv.org/abs/2110.03949v1
- Date: Fri, 8 Oct 2021 07:44:47 GMT
- Title: CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement
Learning
- Authors: Jiun-Hao Jhan, Chao-Peng Liu, Shyh-Kang Jeng, Hung-Yi Lee
- Abstract summary: This study presents a framework whereby several empathetic chatbots are based on understanding users' implied feelings and replying empathetically for multiple dialogue turns.
We call these chatbots CheerBots. CheerBots can be retrieval-based or generative-based and were finetuned by deep reinforcement learning.
To respond in an empathetic way, we develop a simulating agent, a Conceptual Human Model, as aids for CheerBots in training with considerations on changes in user's emotional states in the future to arouse sympathy.
- Score: 60.348822346249854
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Apart from the coherence and fluency of responses, an empathetic chatbot
emphasizes more on people's feelings. By considering altruistic behaviors
between human interaction, empathetic chatbots enable people to get a better
interactive and supportive experience. This study presents a framework whereby
several empathetic chatbots are based on understanding users' implied feelings
and replying empathetically for multiple dialogue turns. We call these chatbots
CheerBots. CheerBots can be retrieval-based or generative-based and were
finetuned by deep reinforcement learning. To respond in an empathetic way, we
develop a simulating agent, a Conceptual Human Model, as aids for CheerBots in
training with considerations on changes in user's emotional states in the
future to arouse sympathy. Finally, automatic metrics and human rating results
demonstrate that CheerBots outperform other baseline chatbots and achieves
reciprocal altruism. The code and the pre-trained models will be made
available.
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