The research community has traditionally shown a keen interest in emotion modeling, with a notable emphasis on the detection aspect. In contrast, the exploration of emotion generation has received less attention.This study delves into an existing state-of-the-art emotional chatbot, EmoBot, designed for generating emotions in general-purpose conversations. This research involves a comprehensive examination, including a survey to evaluate EmoBot's proficiency in key dimensions like usability, accuracy, and overall user satisfaction, with a specific focus on fault tolerance. By closely examining the chatbot's operations, we identified some noteworthy shortcomings in the existing model. We propose some solutions designed to address and overcome the identified issues.

翻译：研究界历来对情感建模表现出浓厚兴趣，尤其侧重于情感检测方面。相比之下，情感生成方面的探索则关注较少。本研究深入探讨了现有最先进的情感聊天机器人EmoBot，该模型专为通用对话中的情感生成而设计。研究进行了全面考察，包括通过问卷调查评估EmoBot在可用性、准确性和整体用户满意度等关键维度的表现，并特别关注其容错能力。通过对聊天机器人运行机制的细致分析，我们发现了现有模型中若干值得注意的缺陷。针对已识别的问题，我们提出了若干旨在解决并克服这些问题的改进方案。