格莱斯
话语
对话
计算机科学
自然语言处理
分类
语言学
人工智能
自然语言
自然语言理解
自然(考古学)
背景(考古学)
心理学
语用学
沟通
哲学
考古
历史
古生物学
生物
作者
Yunju Nam,Hyenyeong Chung,Upyong Hong
出处
期刊:Cyberpsychology, Behavior, and Social Networking
[Mary Ann Liebert, Inc.]
日期:2023-11-17
卷期号:26 (12): 919-923
被引量:3
标识
DOI:10.1089/cyber.2022.0356
摘要
This study pragmatically investigates an artificial intelligence (AI) speaker (AIS)'s verbal communicative performance based on real AI-human conversation data. Specifically, this study explores Grice's conversation theory, which enables the categorization of an AIS's mistaken utterances as violations of specific conversational maxims. Twenty native Korean-speaking participants recorded at least 50 conversations with
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