| 摘 要: 人机对话系统通常仅是用户命令的执行者，很少能主动发起对话，或依据对话以外的内容展开个性化的人机交互。本文提出了联想型对话机器人的概念和对应设计方案，即通过融合用户提问和用户个人特征的方式产生对话内容，这样的对话系统不仅可以主动发出对话邀请，也可以个性化地回答用户问题，提升人机对话的满意度。文章首先介绍了联想型对话机器人与其他类型对话系统的区别与联系，探讨了联想型对话机器人设计所需的关键技术和方法，并以在线教育系统为例，基于有限状态机的方法，构建了主动联想型对话机器人算法模型和联想式对话的生成策略，使机器人能够联想用户的历史行为，生成以用户使用产品为背景的智能对话。 |
| 关键词: 联想型机器人；对话系统；有限状态机 |
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中图分类号: TP391
文献标识码: A
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| Design and Implementation of Proactively Associative Chatbot |
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YU Dan1,2, WEN Tao1,2, YAN Xiaoyu1,2, SUN Wei1,2, LAI Guanjun1,2
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( 1. Dalian Neusoft University of Information, Dalian 116023, China;
2. Research Institute, Dalian Neusoft Education Technology Group Co . Limited, Dalian 116023, China )
yudan@neuedu.com; wentao@neusoft.edu.cn; yanxiaoyu@neuedu.com; sunwei@neusoft.edu.cn; laiguanjun@neuedu.com
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| Abstract: The human-machine dialogue system is usually only the executor of the user's command, and rarely initiates a dialogue that proactively develops personalized human-machine interaction based on content outside but associative to the dialogue. This paper proposes concept and corresponding design of the associative chatbot, that is, dialogue content is generated by integrating user questions and user personal characteristics. Such a dialogue system can not only actively send out dialogue invitations, but also answer user questions in a personalized way, and improve satisfaction of human-machine dialogue. The paper first introduces differences and connections between the associative chatbot and other types of dialogue systems, and discusses key technologies and methods required for designing an associative chatbot. Then, based on Finitestate Machine (FSM) method, this paper takes online education system as an example and constructs algorithm model of proactively associative chatbots and generation strategies of associative dialogues. Therefore, chatbots can associate user's historical behavior with new conversations and generate intelligent dialogues based on user's situation. |
| Keywords: associative chatbot; dialogue system; Finite-state Machine |
