聊天机器人
语域(社会语言学)
背景(考古学)
感知
计算机科学
可靠性
旅游
变化(天文学)
领域(数学分析)
心理学
人机交互
万维网
语言学
物理
法学
神经科学
古生物学
哲学
数学分析
生物
天体物理学
数学
政治学
作者
Ana Paula Chaves,Jesse Egbert,Toby Dylan Hocking,Eck Doerry,Marco Aurélio Gerosa
摘要
Chatbots are often designed to mimic social roles attributed to humans. However, little is known about the impact of using language that fails to conform to the associated social role. Our research draws on sociolinguistic to investigate how a chatbot’s language choices can adhere to the expected social role the agent performs within a context. We seek to understand whether chatbots design should account for linguistic register. This research analyzes how register differences play a role in shaping the user’s perception of the human-chatbot interaction. We produced parallel corpora of conversations in the tourism domain with similar content and varying register characteristics and evaluated users’ preferences of chatbot’s linguistic choices in terms of appropriateness, credibility, and user experience. Our results show that register characteristics are strong predictors of user’s preferences, which points to the needs of designing chatbots with register-appropriate language to improve acceptance and users’ perceptions of chatbot interactions.
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