The first direct replication on using verbal credibility assessment for the detection of deceptive intentions

Verbal deception detection has gained momentum as a technique to tell truth‐tellers from liars. At the same time, researchers' degrees of freedom make it hard to assess the robustness of effects. Replication research can help evaluate how reproducible an effect is. We present the first replication in verbal deception research whereby ferry passengers were instructed to tell the truth or lie about their travel plans. The original study found truth‐tellers to include more specific time references in their answers. The replication study that closely mimicked the setting, procedure, materials, coding, and analyses found no lie–truth difference for specific time references. Although the power of our replication study was suboptimal (0.77), Bayesian statistics showed evidence in favor of the null hypothesis. Given the great applied consequences of verbal credibility tests, we hope this first replication attempt ignites much needed preregistered, high‐powered, multilab replication efforts.     

Are you for real? Exploring language use and unexpected process questions within the detection of identity deception

The current study was to test whether reality monitoring and language use could distinguish identity liars from truth tellers when answering outcome questions and unexpected process questions. Truth tellers (n = 30) and liars (n = 30) discussed their identity in a recruitment interview. No differences emerged between truth tellers and liars in the details they provided. In terms of language use, liars used more positive language than truth tellers, whereas truth tellers used more cognitive process words than liars. However, neither were more pronounced when asking process questions. Overall, process questions elicited more cognitive process and cause words than outcome questions. Therefore, process questions may be able to contribute to the cognitive load approach. The findings suggest that reality monitoring may not be diagnostic when applied to identity deception. We discuss the language use differences in relation to impression management theory.     

Cross‐cultural differences in object recognition: Comparing asylum seekers from Sub‐Saharan Africa and a matched Western European control group

Nowadays, more and more people report about their memories in cross‐cultural contexts. In international criminal settings and asylum procedures, object recognition tests can provide valuable information, for example, about weapons used during a crime or landmarks from the claimed region of origin. This study was the first to compare object recognition performance by asylum seekers from Sub‐Saharan Africa to a matched Western European control group. African participants performed worse than European participants on perceptual tests involving transformations from two‐ to three‐dimensional representations, but both groups performed equally well on an object recognition test that involved transformation from three‐ to two‐dimensional representations. However, African participants were significantly more likely to respond “yes” on the recognition test (i.e., an acquiescence response style) than European participants. Our findings elucidate cultural differences in responding on an object recognition test. Judges, juries, and immigration officials would be wise to take these differences into account when evaluating recognition performance in cross‐cultural contexts.     

Detection,not perception: A reply to Glazer

This article responds to Glazer’s claim that signals must be perceptible as well as his purported counterexample to my conditions for signaling. I defend a broader sense of signal detection that allows for imperceptible signals. While we disagree over the belief-signaling thesis, Glazer and I have great agreement over the social functions of belief.     

Discrepancy detection in the retrieval-enhanced suggestibility paradigm

Retrieval-enhanced suggestibility (RES) refers to the finding that immediately recalling the details of a witnessed event can increase susceptibility to later misinformation. In three experiments, we sought to gain a deeper understanding of the role that retrieval plays in the RES paradigm. Consistent with past research, initial testing did increase susceptibility to misinformation – but only for those who failed to detect discrepancies between the original event and the post-event misinformation. In all three experiments, subjects who retrospectively detected discrepancies in the post-event narratives were more resistant to misinformation than those who did not. In Experiments 2 and 3, having subjects concurrently assess the consistency of the misinformation narratives negated the RES effect. Interestingly, in Experiments 2 and 3, subjects who had retrieval practice and detected discrepancies were more likely to endorse misinformation than control subjects who detected discrepancies. These results call attention to limiting conditions of the RES effect and highlight the complex relationship between retrieval practice, discrepancy detection, and misinformation endorsement.     

Extending affective capabilities for medical assistive robots

In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients’ mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient’s affective state is also reported.     

Fast face detection using a unified architecture for unconstrained and infrared face images

Human face detection along with its localization is a difficult task when the face is presented in the cluttered scene in an unconstrained scenario that might be with arbitrary pose variations, occlusions, random backgrounds and infrared (IR) environment. This paper proposes a novel face detection method which can address some of these issues and challenges quite successfully during face detection in unconstrained as well as infrared environments. It makes use of Fast Successive Mean Quantization Transform (FastSMQT) features for image enhancement and feature representation to deal with illumination and sensor insensitiveness. A split up Sparse Network of Winnows (SNoW) with Winnow updating rule is then exploited to speed up the original SNoW classifier. Finally, the features and classifiers are combined together with skin detection algorithm for face detection in crowd image and head orientation correction of near infrared faces. The proposed face detector is robust in handling pose, occlusion, illumination, blur and low image resolution. The experiment is performed on six challenging and publicly available databases, viz. BIOID, LFW, FDDB, UFI, WIDER FACE and IIT Delhi near infrared. The experimental results depict that the proposed method outperforms traditional as well as some advanced methods in detecting unconstrained and infrared faces under challenging situations.     

Demand characteristics and research into drug use

Abstract

Health research makes frequent use of verbal reports; and such reports are usually assumed to be the surface indicants of measurable entities such as attitudes, beliefs, intentions, etc. which reside inside the person. It is our assertion that verbal reports themselves are motivated and variable; they are functional and context-dependent and their meaning and significance are localised. Consequently discourse cannot be treated as if it were fixed and categorical data to be retrieved from memory by asking questions that appear objective or disinterested. A method is postulated, using a social perception analogy with signal detection (SD) theory. The method allows for the assessment of subject criterion, and permits an examination of signal-strength in terms of the researcher's motivation. Data are evaluated in terms of their “robustness”, a measure which derives from the variability of response in different contexts, and under different elicitation procedures. The method requires few assumptions to be made about the “truth” or “falsity” of verbal reports. It focuses on the types of social activities that are performed by utterances and thus on the contextual variability revealed by asking questions in different situations and in different ways. This procedure does not presume a direct correspondence between verbal reports and mental representations.     

Change detection inflates confidence on a subsequent recognition task

A face viewed under good encoding conditions is more likely to be remembered than a face viewed under poor encoding conditions. In four experiments we investigated how encoding conditions affected confidence in recognising faces from line-ups. Participants performed a change detection task followed by a recognition task and then rated how confident they were in their recognition accuracy. In the first two experiments the same faces were repeated across trials. In the final two experiments novel faces were used on each trial. Target-present and target-absent line-ups were utilised. In each experiment participants had greater recognition confidence after change detection than after change blindness. The finding that change detection inflates confidence, even for inaccurate recognitions, indicates recognition certainty can be a product of perceived encoding conditions rather than authentic memory strength.