记忆与情感与社交同伴对话的结合:综述

Juzheng Zhang, N. Magnenat-Thalmann, Jianmin Zheng
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引用次数: 7

摘要

在即将到来的社交伙伴时代,许多研究都在追求社交伙伴与用户之间的自然对话互动和长期关系。针对用户在最初几次互动后兴趣迅速下降的问题,开发了各种情感和记忆模型,并与社交伙伴相结合,以提高用户粘性。本文综述了将记忆和情感与社会同伴自然语言对话相结合的相关研究成果。我们将这些作品分为三类:(1)带对话的情感系统;(2)带对话的任务驱动记忆;(3)带对话的聊天驱动记忆。此外,我们还讨论了局限性和需要解决的挑战性问题。最后,我们还介绍了我们的社会伙伴框架。
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Combining Memory and Emotion With Dialog on Social Companion: A Review
In the coming era of social companions, many researches have been pursuing natural dialog interactions and long-term relations between social companions and users. With respect to the quick decrease of user interests after the first few interactions, various emotion and memory models are developed and integrated with social companions for better user engagement. This paper reviews related works in the effort of combining memory and emotion with natural language dialog on social companions. We separate these works into three categories: (1) Affective system with dialog, (2) Task-driven memory with dialog, (3) Chat-driven memory with dialog. In addition, we discussed limitations and challenging issues to be solved. Finally, we also introduced our framework of social companions.
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