Literature review for Deception detection
نویسنده
چکیده
Deception is a very common phenomenon, especially human communication, and people have been interested in how to accurately detect deception for much of human history. In recent years, detecting deception has became a huge point of interest for many different fields of research, such as business, jurisprudence, law enforcement, and national security. Deception and its detection is a complicated psychological behavior which is related to cognitive processes and mental activity. There are several major problems in detecting deception. Firstly, there is huge individual difference among the liars (interpersonal difference). Secondly, the differences between truth telling and lying are typically small for same person (intra-personal difference). A third difficulty for detecting deception is embedding lies in the truth, where true statements are used to support a lie. For the difficulty perspective of computer science and other broad research on this topic, there are very few well designed deception corpora available for analysis and for developing deception detection systems. In this survey, we will introduce some analysis of verbal cues for detecting deception through lexical analysis, acoustic and prosodic analysis, and speech event analysis. We will also present an “indirect” approach. We think emotion recognition and personality recognition might be informative in addressing inter-personal and intra-personal differences in detecting deception. Motivated by this purpose, we included some successful and interesting research for emotion and personality recognition in this survey. The overall objective of this survey is to help readers to understand the challenge of deception detection, the state-of-art research for deception detection, and the future research direction for this topic.
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