著者

角森 唯子 Graham Neubig Sakriani Sakti 平岡 拓也 水上 雅博 戸田 智基 中村 哲

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会研究会資料 言語・音声理解と対話処理研究会 75回 (2015/10) (ISSN:09185682)

巻号頁・発行日

pp.04, 2015-10-26 (Released:2021-06-28)

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When humans attempt to detect deception, they perform two actions: looking for telltale signs of deception, and asking questions to attempt to unveil a deceptive conversational partner. There has been a significant amount of prior work on automatic deception detection, which focuses on the former. On the other hand, we focus on the latter, constructing a dialog system for an interview task that acts as an interviewer asking questions to attempt to catch a potentially deceptive interviewee. We propose several dialog strategies for this system, and measure the utterance-level deception detection accuracy of each, finding that a more intelligent dialog strategy results in slightly better deception detection accuracy.