主催: 人工知能学会
会議名: 第75回 言語・音声理解と対話処理研究会
回次: 75
開催地: 早稲田大学 喜久井町キャンパス 40号館 グリーン・コンピューティング・システム研究開発センター
開催日: 2015/10/29 - 2015/10/30
p. 04-
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.