Bibliografie tematiche / Detecting deception

Letteratura scientifica selezionata sul tema "Detecting deception"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 4 febbraio 2022

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Articoli di riviste sul tema "Detecting deception"

1

Gergen, Kenneth J. "Detecting deception". Behavioral and Brain Sciences 20, n. 1 (marzo 1997): 114–15. http://dx.doi.org/10.1017/s0140525x97350031.

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I find three major shortcomings in Mele's account. First, verbal ambiguities suggest that the analysis is irrelevant to self-deception and/or that the traditional conception is subtly reinstated. Second, the data offer no means of establishing the superiority of the present account. Finally, as political rhetoric, Mele's proposal not only operates to disqualify others, but establishes science as their judge.
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Lykken, David T. "Detecting deception". Society 22, n. 6 (settembre 1985): 34–39. http://dx.doi.org/10.1007/bf02695837.

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3

Wu, Jiang, e Yangyang Liu. "Deception detection methods incorporating discourse network metrics in synchronous computer-mediated communication". Journal of Information Science 46, n. 1 (22 gennaio 2019): 64–81. http://dx.doi.org/10.1177/0165551518823176.

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Abstract (sommario):
The prevalence of deception in computer-mediated communication and the risk of misjudgement based on deceptive information call for effective detection methods of deception. Extant models for online deception detection rely mainly on verbal behaviours of participants while largely ignoring context. Discourse behaviour analysis, which can better investigate the information in context, has been proved effective for online deception detection; nevertheless, these discourse behaviours have been analysed in isolation without referring to other behaviours in context. To achieve the ultimate goal of effective prediction of deception in synchronous computer-mediated communication, this research exploits temporal networks in uncovering the dynamics of deception behaviours, proposes novel deception detection methods using discourse network metrics as predictive features, and empirically evaluates the performances of deception detection methods incorporating three types of predictive features (non-discourse features, discourse features and discourse network metrics). The results suggest that discourse network features are more effective in detecting deception and incorporating these features with non-discourse and discourse features can significantly improve the performance of deception detection. The findings not only demonstrate the efficacy of structural features in deception detection but also offer both methodological and theoretical contributions to deception detection from the perspective of temporal network.
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Kuzio, Anna. "The role of sex differences in detecting deception in computer-mediated communication in English". Journal of Computer-Assisted Linguistic Research 2, n. 1 (12 luglio 2018): 39. http://dx.doi.org/10.4995/jclr.2018.10521.

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<p>While deception seems to be a common approach in interpersonal communication, most examination on interpersonal deception sees the sex of the interlocutor as unconnected with the capability to notice deceptive messages. This research studies the truth and deception detection capability of both male and female receivers when replying to both true and deceptive messages from both male and female speakers. The outcomes indicate that sex may be a significant variable in comprehending the interpersonal detection probabilities of truth and of lies. An interaction of variables including the speakers’ sex, receivers’ sex, and whether the message appears to be truthful or deceptive is created to relate to detection capability.</p>
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Murphy, Kevin R. "Detecting infrequent deception." Journal of Applied Psychology 72, n. 4 (novembre 1987): 611–14. http://dx.doi.org/10.1037/0021-9010.72.4.611.

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Picornell, Isabel. "Analysing Deception in Written Witness Statements". Linguistic Evidence in Security, Law and Intelligence 1, n. 1 (6 dicembre 2013): 41–50. http://dx.doi.org/10.5195/lesli.2013.2.

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Abstract (sommario):
Written witness statements are a unique source for the study of high-stakes textual deception. To date, however, there is no distinction in the way that they and other forms of verbal deception have been analysed, with written statements treated as extensions of transcribed versions of oral reports. Given the highly context-dependent nature of cues, it makes sense to take the characteristics of the medium into account when analysing for deceptive language. This study examines the characteristic features of witness narratives and proposes a new approach to search for deception cues. Narratives are treated as a progression of episodes over time, and deception as a progression of acts over time. This allows for the profiling of linguistic bundles in sequence, revealing the statements’ internal gradient, and deceivers’ choice of deceptive linguistic strategy. Study results suggest that, at least in the context of written witness statements, the weighting of individual features as deception cues is not static but depends on their interaction with other cues, and that detecting deceivers’ use of linguistic strategy is en effective vehicle for identifying deception.
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Grosch, James W., e John E. Sparrow. "Detecting Deception: A Classroom Demonstration". Teaching of Psychology 19, n. 3 (ottobre 1992): 166–68. http://dx.doi.org/10.1207/s15328023top1903_10.

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Abstract (sommario):
Lie detection, a topic that most students of psychology find fascinating, can be demonstrated using an inexpensive, highly portable galvanic skin response (GSR) monitor. This demonstration can be used to touch on the current controversy surrounding the use of physiological measures in detecting deception and is relevant to other topics, such as emotion, perception, and industrial/organizational psychology.
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Tsikerdekis, Michail, e Sherali Zeadally. "Detecting Online Content Deception". IT Professional 22, n. 2 (1 marzo 2020): 35–44. http://dx.doi.org/10.1109/mitp.2019.2961638.

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Luke, Timothy J. "Lessons From Pinocchio: Cues to Deception May Be Highly Exaggerated". Perspectives on Psychological Science 14, n. 4 (7 giugno 2019): 646–71. http://dx.doi.org/10.1177/1745691619838258.

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Abstract (sommario):
Deception researchers widely acknowledge that cues to deception—observable behaviors that may differ between truthful and deceptive messages—tend to be weak. Nevertheless, several deception cues have been reported with unusually large effect sizes, and some researchers have advocated the use of such cues as tools for detecting deceit and assessing credibility in practical contexts. By examining data from empirical deception-cue research and using a series of Monte Carlo simulations, I demonstrate that many estimated effect sizes of deception cues may be greatly inflated by publication bias, small numbers of estimates, and low power. Indeed, simulations indicate the informational value of the present deception literature is quite low, such that it is not possible to determine whether any given effect is real or a false positive. I warn against the hazards of relying on potentially illusory cues to deception and offer some recommendations for improving the state of the science of deception.
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Levine, Timothy R. "Active Deception Detection". Policy Insights from the Behavioral and Brain Sciences 1, n. 1 (ottobre 2014): 122–28. http://dx.doi.org/10.1177/2372732214548863.

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Abstract (sommario):
Actively detecting deception requires (a) gathering information for fact-checking the communication content, (b) strategically prompting deception cues, and (c) encouraging honest admissions and discouraging continued deceit. Most deception-detection research, active or otherwise, finds that people are only slightly better than chance at correctly distinguishing truth from lies. Poor accuracy stems from a lack of reliable deception cues that hold across people and situations. Consequently, basing lie detection on deception cues is prone to error. However, some approaches to active deception detection yield higher accuracy than passive observation. Not all active approaches are advantageous. Mere interaction and mere question-asking produce outcomes similar to passive observation. Evidence-based and confession-solicitation approaches can be highly effective: for example, strategic use of evidence (SUE) and the content in context approach.
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Tesi sul tema "Detecting deception"

1

Hu, Hang. "Characterizing and Detecting Online Deception via Data-Driven Methods". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98575.

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Abstract (sommario):
In recent years, online deception has become a major threat to information security. Online deception that caused significant consequences is usually spear phishing. Spear-phishing emails come in a very small volume, target a small number of audiences, sometimes impersonate a trusted entity and use very specific content to redirect targets to a phishing website, where the attacker tricks targets sharing their credentials. In this thesis, we aim at measuring the entire process. Starting from phishing emails, we examine anti-spoofing protocols, analyze email services' policies and warnings towards spoofing emails, and measure the email tracking ecosystem. With phishing websites, we implement a powerful tool to detect domain name impersonation and detect phishing pages using dynamic and static analysis. We also analyze credential sharing on phishing websites, and measure what happens after victims share their credentials. Finally, we discuss potential phishing and privacy concerns on new platforms such as Alexa and Google Assistant. In the first part of this thesis (Chapter 3), we focus on measuring how email providers detect and handle forged emails. We also try to understand how forged emails can reach user inboxes by deliberately composing emails. Finally, we check how email providers warn users about forged emails. In the second part (Chapter 4), we measure the adoption of anti-spoofing protocols and seek to understand the reasons behind the low adoption rates. In the third part of this thesis (Chapter 5), we observe that a lot of phishing emails use email tracking techniques to track targets. We collect a large dataset of email messages using disposable email services and measure the landscape of email tracking. In the fourth part of this thesis (Chapter 6), we move on to phishing websites. We implement a powerful tool to detect squatting domains and train a machine learning model to classify phishing websites. In the fifth part (Chapter 7), we focus on the credential leaks. More specifically, we measure what happens after the targets' credentials are leaked. We monitor and measure the potential post-phishing exploiting activities. Finally, with new voice platforms such as Alexa becoming more and more popular, we wonder if new phishing and privacy concerns emerge with new platforms. In this part (Chapter 8), we systematically assess the attack surfaces by measuring sensitive applications on voice assistant systems. My thesis measures important parts of the complete process of online deception. With deeper understandings of phishing attacks, more complete and effective defense mechanisms can be developed to mitigate attacks in various dimensions.
Doctor of Philosophy
In recent years, online deception becomes a major threat to information security. The most common form of online deception starts with a phishing email, then redirects targets to a phishing website where the attacker tricks targets sharing their credentials. General phishing emails are relatively easy to recognize from both the target's and the defender's perspective. They are usually from strange addresses, the content is usually very general and they come in a large volume. However, Online deception that caused significant consequences is usually spear phishing. Spear-phishing emails come in a very small volume, target a small number of audiences, sometimes impersonate a trusted entity and use very specific content to redirect targets to a phishing website, where the attacker tricks targets sharing their credentials. Sometimes, attackers use domain impersonation techniques to make the phishing website even more convincing. In this thesis, we measure the entire process. Starting from phishing emails, we examine anti-spoofing protocols, analyze email services' policies and warnings towards spoofing emails, and measure the email tracking ecosystem. With phishing websites, we implement a tool to detect domain name impersonation and detect phishing pages using dynamic and static analysis. We also studied credential sharing on phishing websites. We measure what happens after targets share their credentials. Finally, we analyze potential phishing and privacy concerns on new platforms such as Alexa and Google Assistant.
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Albrechtsen, Justin Scott. "Are intuitive responses more accurate at detecting deception than deliberate responses?" To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Taylor, Rachel Janet. "Factors affecting accuracy of detecting deception in experts and lay people". Thesis, University of Manchester, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488228.

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Abstract (sommario):
Previous research on the detection of deception has found that experts are generally no more accurate than students or laypeople at detecting deception. Beliefs about the cues to deception generally reflect the emotional hypothesis of deception; i.e. liars are expected to behave nervously. In order to further explore these issues, studies were conducted that reflected three themes. Firstly factors that might affect beliefs about the cues to deception were considered, specifically the roles of stakes and cognitive complexity. A questionnaire was administered to both police officers and students, this asked about believed cues to deception in a specific situation. Stakes were found to affect beliefs about the cues to deception, with high-stake lies believed to be accompanied by "credibility-enhancing" or "credibility-protecting" verbal devices, such as not admitting lack of memory or spontaneously correcting the account. High-stake lies were therefore considered to be attempts to "sell" the deception to the target. The second theme for the research was to explore the relationship between beliefs about the cues to deception and accuracy of detecting deception. This was explored in two studies that each comprised a questionnaire about believed cues to deception and a judgement task. The first study examined the relationship between accuracy of these beliefs and accuracy of detecting deception, however no relationship was found. The second study considered relationships between individual cues and accuracy as well as groups of believed cues and accuracy. No relationships were found at either level. Results were discussed in terms of automaticity of lie detection, with lie detection being considered in a framework of skill acquisition. The final theme of the thesis was that of other factors that could influence accurate detection. Three areas were also explored here - confidence, deception type and interaction. Confidence was not found to relate to accuracy, a finding that was consistent with the previous literature on non-experts, although not with experts where a negative correlation would be predicted. This suggested that expertise may not be a sufficient moderator of this relationship and that some types of training and expertise may be more effective at increasing confidence than others. Differences in accuracy were found according to deception type, with those conditions that could be considered directly familiar being more accurately detected. In the interactive experiments, deception was found to be associated with increased cognitive load, although this finding only applied to verbal behaviours. However, no differences were found between interviewers and judges in terms of accuracy, suggesting that any benefits of being able to ask questions, clarify points and probe inconsistencies might have been outweighed by the cognitive demands imposed on inexperienced interviewers. In the discussion of the thesis, some training implications arising from the research were outlined. These included extensive interviewer training to minimise cognitive load associated with asking questions, accompanied by devices to maximise cognitive load on interviewees and an avoidance of schematic processing of verbal and non-verbal cues.
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Vernham, Zarah. "No safety in numbers : detecting deception using a collective interviewing approach". Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/no-safety-in-numbers(1c276255-c8ed-4eff-b2d0-684eacb335c5).html.

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Abstract (sommario):
Group interviewing, the topic of investigation in this thesis, has been neglected within the deception detection literature. Chapter 1 introduces the topic, and emphasises the importance of studying collective interviewing (whereby pairs are interviewed simultaneously) in a deception context. Chapter 2 explores the nature of deceit occurring within pairs in a police-style interview setting. Truth-telling pairs had lunch together, whilst lying pairs committed a mock crime. All pairs then had to convince an interviewer they were having lunch together. The interview protocol involved repeated questioning, but no significant differences were found between truth-telling pairs and lying pairs in terms of repetitions, omission errors, commission errors, contradictions, and dominance. The lack of significant findings are discussed with regards to the interview protocol employed. Chapter 3 describes two experiments. The first used an immigration-style interview context, and imposed cognitive load by implementing a forced turn-taking technique. Truth-telling pairs were real couples, whereas lying pairs were friends. All pairs were required to convince an interviewer they were a bona fide couple. Results showed that when forced to turn-take, truth-telling pairs continued on from one another, whereas lying pairs waited and repeated previously said information before continuing. The second experiment, a lie detection study, revealed that the three turn-taking cues improved people’s ability to accurately detect deceit. Chapter 4 is based on the first experiment mentioned in Chapter 3, but applies transactive memory theory to explore whether signs of truthfulness emerge through joint recall. Results showed that truth-telling pairs posed questions and provided cues to one another, handed over remembering responsibility, and finished each other’s sentences more than lying pairs. Chapter 5 discusses a study which applied the verifiability approach to alibi witness scenarios. Truth-telling pairs completed a mission together, whereas lying pairs were separated so that one completed the mission whilst the other committed a mock crime. All pairs then had to convince an investigator, first individually then collectively, that they completed the mission together. Results revealed that truth-telling pairs provided more checkable details demonstrating they were together, whereas lying pairs provided more uncheckable details. Additionally, the collective statements prompted only the truth-telling pairs to provide more checkable details demonstrating they were together. A comparison of the individual and collective statements for memory consistency and distortion showed that liars repeated more uncheckable details whilst truth-tellers omitted and committed more checkable details. Chapter 6 summarises the main findings obtained in this thesis, discusses the theoretical and practical implications, and suggests ideas for future research.
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Zoumpoulaki, Alexia. "Detecting perceptual breakthrough in RSVP with applications in deception detection methodological, behavioural and electrophysiological explorations". Thesis, University of Kent, 2016. https://kar.kent.ac.uk/61386/.

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This thesis explores perceptual breakthrough in rapid serial visual presentation (RSVP), for deception detection applications. In RSVP, visual stimuli are presented in rapid succession, pushing the perceptual processing system to the limit, allowing only a limited number of stimuli to be processed and en- coded. In this thesis we investigate what type of stimuli capture attention in RSVP, taking advantage of both physiological and behavioural measurements. The main focus of the studies presented here follows up on work that shows that perceptual breakthrough in RSVP can be used as a marker of concealed knowledge in deception detection tests (Fringe P300). The thesis is divided into two research contribution parts. Firstly, we develop methods for analysing Event Related Potential (ERP) data, in order to facilitate assessment of perceptual breakthrough in experiments presented later in this thesis. We focus on reducing false positives while at the same time successfully measuring the underlying effects. We present and evaluate methods for measuring latencies and selecting Regions of Interest (ROIs) through simulations and experimental data. Secondly, we explore perceptual breakthrough in RSVP with applications in deception detection. For that purpose, we conducted two studies. The first study explores incidentally acquired information by recording the P300 ERP component from participants after acting out a mock crime scenario. The main hypothesis was that concealed information is salient to a guilty person, and thus associated stimuli will be involuntary perceived. The second study explores the type of stimuli that capture attention in RSVP, by addressing issues related to encoding and emotional arousal, and whether attention can be directed through contextual priming independent of the main task. These studies increase our understanding of how stimuli are processed in RSVP and can provide useful suggestions for designing more successful ERP and RSVP based, deception detection applications, both in terms of stimulus presentation and data analysis.
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Määttä, Jessica. "Embodied Cognition and Deception : The Influence of Emotional Congruence in Detecting Lies". Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6418.

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Abstract (sommario):
The influence of facial mimicry and emotional congruence on emotional information processing has previously only been studied in isolation. In the current study their influence on the ability to detect deception will be investigated. In order to recognize the emotional states of others one mimics their emotional facial expression, and being in a congruent emotional state as a person or an emotional message enables faster processing of emotional information. Can emotional congruence between the receiver’s emotional state and a message told affect participants’ ability to detect deception when judging whether a person at a video recording is telling the truth or not? How does emotional congruence affect participants’ speed and confidence when making these judgments? The results showed that participants reported higher confidence but slower response times when making an accurate judgment in the congruent scenario, when compared to the incongruent scenario, but did not perform better than what could be expected by chance in detecting deception. Consequently, emotional congruence had an impact, not on participants’ performance in detecting deception, but only on their meta-cognitive evaluations of their judgments, but confidence rating did not seem to be an indicator of accuracy. In future research the design can be used in order to investigate other potential aspects, such as emotional empathy and other types of emotional congruence, and their influence on the ability to detect deception.
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Gonzalez, Therese. "Avslöjad av ditt kroppsspråk? : Kroppsspråkets betydelse vid bedömning av lögn". Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10669.

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Inom yrken som polis tullbevakare och säkerhetskontrollant är det av stor betydelse att kunna avgöra när en person ljuger eller talar sanning. Forskning har visat att personer som arbetar i dessa yrken såväl som studenter, tenderar att basera sin bedömning av lögn på stereotypa uppfattningar. Studiens syfte var att undersöka kroppsspråkets betydelse vid bedömning av lögn. Deltagare var 20 säkerhetskontrollanter, 6 tullbevakare, 31 poliser och 26 personer med övriga yrken varav 42 män. Deltagarna fick svara på en enkät om kroppsspråkets betydelse. Resultatet visar att deltagarna baserar sin bedömning på stereotypa uppfattningar om vad som indikerar lögn. Säkerhetskontrollanterna och tullbevakarna skattade sin egen förmåga att upptäcka en lögn högre än både poliser och övriga yrkesarbetare, och poliser svarade i större utsträckning att de tittade efter tecken utöver kroppsspråket i sin bedömning. Fler studier om vad som verkligen indikerar lögn är nödvändiga för att undvika bedömningar som baseras på stereotypa uppfattningar.
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Mann, Samantha Ann. "Suspects, lies and videotape : an investigation into telling and detecting lies in police/suspect interviews". Thesis, University of Portsmouth, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369425.

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Twyman, Nathan W. "Automated Human Screening for Detecting Concealed Knowledge". Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222874.

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Screening individuals for concealed knowledge has traditionally been the purview of professional interrogators investigating a crime. But the ability to detect when a person is hiding important information would be of high value to many other fields and functions. This dissertation proposes design principles for and reports on an implementation and empirical evaluation of a non-invasive, automated system for human screening. The screening system design (termed an automated screening kiosk or ASK) is patterned after a standard interviewing method called the Concealed Information Test (CIT), which is built on theories explaining psychophysiological and behavioral effects of human orienting and defensive responses. As part of testing the ASK proof of concept, I propose and empirically examine alternative indicators of concealed knowledge in a CIT. Specifically, I propose kinesic rigidity as a viable cue, propose and instantiate an automated method for capturing rigidity, and test its viability using a traditional CIT experiment. I also examine oculomotor behavior using a mock security screening experiment using an ASK system design. Participants in this second experiment packed a fake improvised explosive device (IED) in a bag and were screened by an ASK system. Results indicate that the ASK design, if implemented within a highly controlled framework such as the CIT, has potential to overcome barriers to more widespread application of concealed knowledge testing in government and business settings.
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East, Rebekah Psychology Faculty of Science UNSW. "Happy and gullible, sad and wise? Mood effects on factual and interpersonal skepticism". Awarded by:University of New South Wales. Psychology, 2006. http://handle.unsw.edu.au/1959.4/24371.

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The primary aim of this research was to examine the influence of temporary mood states on factual and interpersonal skepticism. Based on recent affect-cognition theorising and research on credibility judgment, 7 studies predicted that negative moods increase and positive moods decrease skepticism, because of the information-processing consequences of these affective states. First, three studies examined the influence of mood on factual skepticism toward urban myths and legends (Study 1) and novel and familiar general knowledge claims (Studies 2-3). Contrary to predictions, Study 1 found that sad participants were less skeptical than happy participants towards urban legends, possibly due to the negative valence of the claims. Because the feeling of familiarity has been shown to be an important determinant of truth, Studies 2-3 examined the influence of mood and familiarity on skepticism. Consistent with information processing theories of mood, happy participants were more likely than sad participants to give credence to familiar general knowledge claims (Study 2), even when given explicit feedback about their actual truth or falsity during initial exposure to claims (Study 3). The remainder of this thesis extended these findings to interpersonal judgments. Studies 4-5 found that sad participants were more skeptical of the genuineness of facial expressions of emotion compared to happy participants. Studies 6-7 examined whether sad participants might also show greater lie detection accuracy. In Study 6, happy, sad and neutral-mood participants judged the credibility of targets honestly or deceptively describing their emotional reaction to an affectively-laden film, but no evidence was found of mood induced differences in deception detection accuracy. However, in Study 7, sad participants were more skeptical than happy participants about the veracity of videotaped individuals honestly or deceptively denying their involvement in a mock crime (a theft), and showed greater accuracy at discerning lies from truths. This dissertation contributes to the affect-cognition literature by demonstrating that not only may sad moods lead people to be more skeptical, but they may also confer an advantage at detecting deception. The implications of these findings for everyday credibility judgment and for contemporary theories of affect and cognition are considered.
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Libri sul tema "Detecting deception"

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Granhag, Pär Anders, Aldert Vrij e Bruno Verschuere, a cura di. Detecting Deception. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.

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Hall, Harold V., e Joseph G. Poirier. Detecting Malingering and Deception. Third edition. | Boca Raton : CRC Press, [2020] | Series: Pacific Institute series on forensic psychology: CRC Press, 2020. http://dx.doi.org/10.4324/9780429423031.

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G, Poirier Joseph, a cura di. Detecting malingering and deception: Forensic distortion analysis. 2a ed. Boca Raton, Fla: CRC Press, 2001.

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Subrahmanian, V. S., Judee K. Burgoon e Norah E. Dunbar, a cura di. Detecting Trust and Deception in Group Interaction. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54383-9.

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A, Pritchard David, a cura di. Detecting malingering and deception: Forensic distortion analysis (FDA). Delray Beach, Fla: St. Lucie Press, 1996.

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Hall, Harold V. Detecting malingering and deception: The revised forensic distortion analysis. 2a ed. Boca Raton, FL: CRC Press, 2000.

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Ponticelli, Theodore. Detecting deception: Polygraph instruments, standards procedures-- for the practitioner. Jacksonville, Fla: Institute of Police Technology and Management, 2005.

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Vrij, Aldert. Detecting lies and deceit: Pitfalls and opportunities. 2a ed. Chichester: John Wiley, 2008.

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Vrij, Aldert. Detecting lies and deceit: The psychology of lying and the implications for professional practice. Chichester: John Wiley, 2001.

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Clifton, Charles. Deception detection: Winning the polygraph game. Boulder, Colo: Paladin Press, 1991.

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Capitoli di libri sul tema "Detecting deception"

1

Vrij, Aldert. "Verbal Lie Detection Tools". In Detecting Deception, 1–35. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch1.

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Granhag, Pär anders, e Maria Hartwig. "The Strategic Use of Evidence Technique". In Detecting Deception, 231–51. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch10.

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Ganis, Giorgio. "Investigating Deception and Deception Detection with Brain Stimulation Methods". In Detecting Deception, 253–68. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch11.

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Verschuere, Bruno, Kristina Suchotzki e Evelyne Debey. "Detecting Deception Through Reaction Times". In Detecting Deception, 269–91. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch12.

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Granhag, Pär Anders, Maria Hartwig, Erik Mac Giolla e Franziska Clemens. "Suspects’ Verbal Counter-Interrogation Strategies". In Detecting Deception, 293–313. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch13.

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Elaad, Eitan. "Covert Detection of Deception". In Detecting Deception, 315–38. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch14.

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Bond, Charles F., Timothy R. Levine e Maria Hartwig. "New Findings in Non-Verbal Lie Detection". In Detecting Deception, 37–58. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch2.

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Meijer, Ewout H., e Bruno Verschuere. "The Polygraph". In Detecting Deception, 59–80. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch3.

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Iacono, William G. "Forensic Application of Event-Related Brain Potentials to Detect Guilty Knowledge". In Detecting Deception, 81–103. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch4.

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Ganis, Giorgio. "Deception Detection Using Neuroimaging". In Detecting Deception, 105–21. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118510001.ch5.

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Atti di convegni sul tema "Detecting deception"

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Rowe, Neil C. "Detecting Suspicious Behavior From Only Positional Data With Distributed Sensor Networks". In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84420.

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Abstract (sommario):
Wireless sensor networks are increasingly popular, and are being used to measure simple properties of their environment. In many applications such as surveillance, we would like them to distinguish “suspicious” behavior automatically. We distinguish here between suspicious and anomalous behavior, and develop a mathematical model which we illustrate on some sample data. We show the model predicts six classic deception strategies. We conclude with analysis of more sophisticated deceptions that exploit system responses to simpler deceptions.
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Little, A., e D. B. Skillicorn. "Detecting deception in testimony". In 2008 IEEE International Conference on Intelligence and Security Informatics (ISI 2008). IEEE, 2008. http://dx.doi.org/10.1109/isi.2008.4565022.

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Yu, Bin, e Munindar P. Singh. "Detecting deception in reputation management". In the second international joint conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/860575.860588.

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Lamb, C. E., e D. B. Skillicorn. "Detecting deception in interrogation settings". In 2013 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE, 2013. http://dx.doi.org/10.1109/isi.2013.6578809.

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Enos, Frank, Elizabeth Shriberg, Martin Graciarena, Julia Hirschberg e Andreas Stolcke. "Detecting deception using critical segments". In Interspeech 2007. ISCA: ISCA, 2007. http://dx.doi.org/10.21437/interspeech.2007-619.

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Alowibdi, Jalal S., Ugo A. Buy, Philip S. Yu e Leon Stenneth. "Detecting deception in Online Social Networks". In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921614.

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Franke, Ulrik, e Magnus Rosell. "Prospects for Detecting Deception on Twitter". In 2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2014. http://dx.doi.org/10.1109/ficloud.2014.92.

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Santos, Jr., Eugene, e Gregory Johnson, Jr. "Toward detecting deception in intelligent systems". In Defense and Security, a cura di Dawn A. Trevisani e Alex F. Sisti. SPIE, 2004. http://dx.doi.org/10.1117/12.547296.

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Pavur, James, e Ivan Martinovic. "On Detecting Deception in Space Situational Awareness". In ASIA CCS '21: ACM Asia Conference on Computer and Communications Security. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3433210.3453081.

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Ondras, Jan, e Hatice Gunes. "Detecting Deception and Suspicion in Dyadic Game Interactions". In ICMI '18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3242969.3242993.

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Rapporti di organizzazioni sul tema "Detecting deception"

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Doyle, Jon. Detecting Deception in Multiscale Activity Graphs. Fort Belvoir, VA: Defense Technical Information Center, luglio 2012. http://dx.doi.org/10.21236/ada580490.

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Stech, Frank J., e Christopher Elsaesser. Midway Revisited: Detecting Deception by Analysis of Competing Hypothesis. Fort Belvoir, VA: Defense Technical Information Center, novembre 2004. http://dx.doi.org/10.21236/ada428173.

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Matsumoto, David, Hyisung C. Hwang, Adam M. Fullenkamp e C. M. Laurent. Human Deception Detection from Whole Body Motion Analysis. Fort Belvoir, VA: Defense Technical Information Center, dicembre 2015. http://dx.doi.org/10.21236/ada626755.

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Stern, Robert M., e John C. Kircher. The Effects of Augmented Physiological Feedback on Detection of Deception. Fort Belvoir, VA: Defense Technical Information Center, marzo 2002. http://dx.doi.org/10.21236/ada400823.

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Santos, Jr, e Eugene. Deception Detection in Expert Source Information Through Bayesian Knowledge-Bases. Fort Belvoir, VA: Defense Technical Information Center, febbraio 2008. http://dx.doi.org/10.21236/ada531719.

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Kircher, John C., Sean D. Kristjansson, Michael K. Gardner e Andrea Webb. Human and Computer Decision-making in the Psychophysiological Detection of Deception. Fort Belvoir, VA: Defense Technical Information Center, marzo 2005. http://dx.doi.org/10.21236/ada520590.

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Vendemia, Jennifer M. Brain Imaging Research: The Detection of Deception Utilizing HD-ERP, fMRI, and Pupillometry. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2009. http://dx.doi.org/10.21236/ada513920.

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Kircher, John C., Ted Packard, Brian G. Bell e Paul C. Bernhard. Comparison of Skin Conductance and Skin Resistance Measures for the Detection of Deception. Fort Belvoir, VA: Defense Technical Information Center, ottobre 2001. http://dx.doi.org/10.21236/ada404127.

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Ingram, Eben M. Test of a Mock Theft Scenario for Use in the Psychophysiological Detection of Deception: II,. Fort Belvoir, VA: Defense Technical Information Center, marzo 1997. http://dx.doi.org/10.21236/ada325487.

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Carlton, Barbara L., e Brenda J. Smith. The Effects of Aural Versus Visual Presentations of Questions During a Detection of Deception Task. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1991. http://dx.doi.org/10.21236/ada304657.

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