Self-Talk Responses to Users' Opinions and Challenge in Human Computer Dialog
Yang Minghao1,2; Zhang Ke2; NaShengRuoYang1; Tao Jianhua1,2,4
2018-08-02
会议名称2018 International Conference on Pattern Recognition (ICPR 2018)
会议日期2018-8-2
会议地点Beijing, China
产权排序1
摘要

People like to be, or partly, encouraged
when their opinions or challenges are supported by
listeners, even the listeners are robots. Encouraging
responses from the robot which seem to get users' points
potentially improve users' feeling in human computer
dialog. According to this hypothesis, this paper proposes
a method to generate supporting responses to users'
opinions or challenges. The core ideas and contributions
of the proposed method are: (1) multiple search engines
cooperate, and (2) each engine random asks itself or ask
another one to obtain more related information from the
internet in multiple turns; then (3) final responses are
abstracted from the answers. We call these three steps as
Self-Talk. The comparisons between Self-Talk and
several commercial open speech assistants show that the
proposed method does generate suitable answers to
users when they present their opinions or challenges in
dialog. The hypothesis is positively evaluated that
encouraging responses could improve users' chat feeling.

收录类别EI
语种英语
WOS研究方向artificial intelligence
WOS类目artificial intelligence
是否为代表性论文
七大方向——子方向分类人工智能+文化
国重实验室规划方向分类多模态协同认知
是否有论文关联数据集需要存交
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/57534
专题脑图谱与类脑智能实验室_微观重建与智能分析
通讯作者Yang Minghao
作者单位1.Institute of Automation, Chinese Academy of Sciences, China
2.The Center for Excellence in Brain Science and Intelligent Technology of Chinese Academy of Sciences
3.Guilin University of Electronic Technology
4.4University of Chinese Academy of Sciences
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Yang Minghao,Zhang Ke,NaShengRuoYang,et al. Self-Talk Responses to Users' Opinions and Challenge in Human Computer Dialog[C],2018.
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