LieCatcher: Game Framework for Collecting Human Judgments of Deceptive Speech

Sarah Ita Levitan, James Shin, Ivy Chen, Julia Hirschberg
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引用次数: 4

Abstract

Humans are notoriously poor at detecting deception --- most are worse than chance. To address this issue we have developed LieCatcher, a single-player web-based Game With A Purpose (GWAP) that allows players to assess their lie detection skills while providing human judgments of deceptive speech. Players listen to audio recordings drawn from a corpus of deceptive and non-deceptive interview dialogues, and guess if the speaker is lying or telling the truth. They are awarded points for correct guesses and at the end of the game they receive a score summarizing their performance at lie detection. We present the game design and implementation, and describe a crowdsourcing experiment conducted to study perceived deception.
LieCatcher:收集人类对欺骗性言语判断的游戏框架
人类在识别欺骗方面的能力是出了名的差——大多数都比运气差。为了解决这个问题,我们开发了一款基于网页的单人游戏《寻谎者》(LieCatcher),它允许玩家评估自己的测谎技能,同时提供人类对欺骗性言论的判断。参与者听一段取自欺骗性和非欺骗性访谈对话的录音,然后猜测说话者是在撒谎还是在说实话。他们会因猜对而获得分数,在游戏结束时,他们会得到一个分数,总结他们在测谎中的表现。我们介绍了游戏的设计和实现,并描述了一个用于研究感知欺骗的众包实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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