Automatic Detection Of Verbal Deception
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| Author | : Eileen Fitzpatrick |
| Publisher | : Springer Nature |
| Total Pages | : 101 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031021584 |
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, border crossing, customs, and asylum interviews; congressional hearings; financial reporting; legal depositions; human resource evaluation; predatory communications that include Internet scams, identity theft, and fraud; and false product reviews. Having established the background, this book concentrates on computational analyses of deceptive verbal behavior that have enabled the field of deception studies to move from individual cues to overall differences in behavior. The computational work is organized around the features used for classification from -gram through syntax to predicate-argument and rhetorical structure. The book concludes with a set of open questions that the computational work has generated.
| Author | : Aldert Vrij |
| Publisher | : John Wiley & Sons |
| Total Pages | : 519 |
| Release | : 2008-02-19 |
| Genre | : Psychology |
| ISBN | : 0470516259 |
Why do people lie? Do gender and personality differences affect how people lie? How can lies be detected? Detecting Lies and Deceit provides the most comprehensive review of deception to date. This revised edition provides an up-to-date account of deception research and discusses the working and efficacy of the most commonly used lie detection tools, including: Behaviour Analysis Interview Statement Validity Assessment Reality Monitoring Scientific Content Analysis Several different polygraph tests Voice Stress Analysis Thermal Imaging EEG-P300 Functional Magnetic Resonance Imaging (fMRI) All three aspects of deception are covered: nonverbal cues, speech and written statement analysis and (neuro)physiological responses. The most common errors in lie detection are discussed and practical guidelines are provided to help professionals improve their lie detection skills. Detecting Lies and Deceit is a must-have resource for students, academics and professionals in psychology, criminology, policing and law.
| Author | : J. Peter Rosenfeld |
| Publisher | : Academic Press |
| Total Pages | : 460 |
| Release | : 2018-02-16 |
| Genre | : Psychology |
| ISBN | : 0128127309 |
Detecting Concealed Information and Deception: Recent Developments assembles contributions from the world's leading experts on all aspects of concealed information detection. This reference examines an array of different methods—behavioral, verbal interview and physiological—of detecting concealed information. Chapters from leading legal authorities address how to make use of detected information for present and future legal purposes. With a theoretical and empirical foundation, the book also covers new human interviewing techniques, including the highly influential Implicit Association Test among others. - Presents research from Concealed Information Test (CIT) studies - Explores the legal implications and admissibility of the CIT - Covers EEG, event-related brain potentials (ERP) and autonomic detection measures - Reviews multiple verbal lie detection tools - Discusses ocular movements during deception and evasion - Identifies how to perceive malicious intentions - Explores personality dimensions associated with deception, including religion, age and gender
| Author | : Horacio Saggion |
| Publisher | : Springer Nature |
| Total Pages | : 121 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031021665 |
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
| Author | : Neeta Nain |
| Publisher | : Springer Nature |
| Total Pages | : 530 |
| Release | : 2020-03-28 |
| Genre | : Computers |
| ISBN | : 9811540187 |
This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized by the topical headings in two parts. Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.
| Author | : Neil C. Rowe |
| Publisher | : Springer |
| Total Pages | : 339 |
| Release | : 2016-09-23 |
| Genre | : Computers |
| ISBN | : 331941187X |
This book is an introduction to both offensive and defensive techniques of cyberdeception. Unlike most books on cyberdeception, this book focuses on methods rather than detection. It treats cyberdeception techniques that are current, novel, and practical, and that go well beyond traditional honeypots. It contains features friendly for classroom use: (1) minimal use of programming details and mathematics, (2) modular chapters that can be covered in many orders, (3) exercises with each chapter, and (4) an extensive reference list.Cyberattacks have grown serious enough that understanding and using deception is essential to safe operation in cyberspace. The deception techniques covered are impersonation, delays, fakes, camouflage, false excuses, and social engineering. Special attention is devoted to cyberdeception in industrial control systems and within operating systems. This material is supported by a detailed discussion of how to plan deceptions and calculate their detectability and effectiveness. Some of the chapters provide further technical details of specific deception techniques and their application. Cyberdeception can be conducted ethically and efficiently when necessary by following a few basic principles. This book is intended for advanced undergraduate students and graduate students, as well as computer professionals learning on their own. It will be especially useful for anyone who helps run important and essential computer systems such as critical-infrastructure and military systems.
| Author | : Ahmed Moustafa |
| Publisher | : Academic Press |
| Total Pages | : 402 |
| Release | : 2022-05-27 |
| Genre | : Psychology |
| ISBN | : 0323906966 |
Cybersecurity and Cognitive Science provides the reader with multiple examples of interactions between cybersecurity, psychology and neuroscience. Specifically, reviewing current research on cognitive skills of network security agents (e.g., situational awareness) as well as individual differences in cognitive measures (e.g., risk taking, impulsivity, procrastination, among others) underlying cybersecurity attacks. Chapters on detection of network attacks as well as detection of cognitive engineering attacks are also included. This book also outlines various modeling frameworks, including agent-based modeling, network modeling, as well as cognitive modeling methods to both understand and improve cybersecurity. - Outlines cognitive modeling within cybersecurity problems - Reviews the connection between intrusion detection systems and human psychology - Discusses various cognitive strategies for enhancing cybersecurity - Summarizes the cognitive skills of efficient network security agents, including the role of situational awareness
| Author | : Erik Cambria |
| Publisher | : Springer |
| Total Pages | : 199 |
| Release | : 2017-04-07 |
| Genre | : Medical |
| ISBN | : 3319553941 |
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society, business and future researches as well.
| Author | : Victoria L. Rubin |
| Publisher | : Springer Nature |
| Total Pages | : 305 |
| Release | : 2022-06-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3030956563 |
This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.
| Author | : Pär Anders Granhag |
| Publisher | : John Wiley & Sons |
| Total Pages | : 366 |
| Release | : 2015-01-20 |
| Genre | : Psychology |
| ISBN | : 1118509668 |
Detecting Deception offers a state-of-the-art guide to the detection of deception with a focus on the ways in which new cognitive psychology-based approaches can improve practice and results in the field. Includes comprehensive coverage of the latest scientific developments in the detection of deception and their implications for real-world practice Examines current challenges in the field - such as counter-interrogation strategies, lying networks, cross-cultural deception, and discriminating between true and false intentions Reveals a host of new approaches based on cognitive psychology with the potential to improve practice and results, including the strategic use of evidence, imposing cognitive load, response times, and covert lie detection Features contributions from internationally renowned experts
