对话
计算机科学
任务(项目管理)
人机交互
社会化媒体
数据科学
万维网
心理学
沟通
经济
管理
作者
Emer Gilmartin,Marine Collery,Ketong Su,Yuyun Huang,Christy Elias,Benjamin R. Cowan,Nick Campbell
标识
DOI:10.1145/3139491.3139494
摘要
Social or interactive talk differs from task-based or instrumental interactions in many ways. Quantitative knowledge of these differences will aid the design of convincing human-machine interfaces for applications requiring machines to take on roles including social companions, healthcare providers, or tutors. We briefly review accounts of social talk from the literature. We outline a three part data collection of human-human, human-woz and human-machine dialogs incorporating light social talk and a guessing game. We finally describe our ongoing experiments on the corpus collected.
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