对话
开放域
对话系统
聊天机器人
计算机科学
领域(数学分析)
人机交互
万维网
价值(数学)
自然(考古学)
心理学
人工智能
答疑
沟通
机器学习
数学分析
考古
对话框
历史
数学
作者
Ekaterina Svikhnushina,Alexandru Placinta,Pearl Pu
标识
DOI:10.1145/3461778.3462125
摘要
Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we explore user experience and expectations of these agents in a mixed-method study. Results of statistical analysis reveal which social qualities of chatbots are the most significant for user satisfaction. Further, we employ natural language processing and qualitative methods to identify how users wish their chatbots to evolve in the future. While currently users mostly value the entertaining component of their experience, their expectations call for more human-like behavior of chatbots. The most prominent expectations include chatbots’ abilities to treat and express emotions and be more attentive to the user. Based on these findings, we conclude with design implications, discussing the directions for developing social skills of open-domain chatbots.
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