| 期刊全称 | Automatic Detection of Verbal Deception | | 影响因子2023 | Eileen Fitzpatrick,Joan Bachenko,Tommaso Fornaciar | | 视频video | | | 学科分类 | Synthesis Lectures on Human Language Technologies | | 图书封面 |  | | 影响因子 | The attempt to spot deception through its correlates in human behavior has a long history. Until recently, these efforts have concentrated on identifying individual "cues" that might occur with deception. However, with the advent of computational means to analyze language and other human behavior, we now have the ability to determine whether there are consistent clusters of differences in behavior that might be associated with a false statement as opposed to a true one. While its focus is on verbal behavior, this book describes a range of behaviors—physiological, gestural as well as verbal—that have been proposed as indicators of deception. An overview of the primary psychological and cognitive theories that have been offered as explanations of deceptive behaviors gives context for the description of specific behaviors. The book also addresses the differences between data collected in a laboratory and "real-world" data with respect to the emotional and cognitive state of the liar. It discusses sources of real-world data and problematic issues in its collection and identifies the primary areas in which applied studies based on real-world data are critical, including police, security | | Pindex | Book 2015 |
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发表于 2025-3-21 18:04:27
