分析情绪对话机器人EmoBot的使用体验与故障，提出改进方案。
Enhancing EmoBot: An In-Depth Analysis of User Satisfaction and Faults in an Emotion-Aware Chatbot
- 通过用户调研评估EmoBot在可用性、准确性和满意度上的表现。
- 发现模型在情绪生成中存在明显缺陷，影响用户体验。
- 针对故障提出优化方案，提升情绪对话的自然度与鲁棒性。
研究社区长期以来对情绪建模表现出浓厚兴趣，尤其集中在情绪检测方面。相比之下，情绪生成的研究相对较少。本研究深入分析了现有顶尖情绪对话机器人EmoBot，其旨在通用对话中生成情绪。研究通过调查评估了EmoBot在可用性、准确性及整体用户满意度等关键维度的表现，特别关注其容错能力。通过对系统运行的细致观察，识别出当前模型存在的若干显著问题，并提出了针对性解决方案以克服这些缺陷。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。