Springer Science and Business Media LLC

Encoders were video recorded giving either truthful or deceptive descriptions of video footage designed to generate either emotional or unemotional responses. Decoders were asked to indicate the truthfulness of each item, what cues they used in making their judgements, and then to complete both the Micro Expression Training Tool (METT) and Subtle Expression Training Tool (SETT). Although overall performance on the deception detection task was no better than chance, performance for emotional lie detection was significantly above chance, while that for unemotional lie detection was significantly below chance. Emotional lie detection accuracy was also significantly positively correlated with reported use of facial expressions and with performance on the SETT, but not on the METT. The study highlights the importance of taking the type of lie into account when assessing skill in deception detection.

When a chief executive officer or spokesperson responds to an organizational crisis, he or she communicates not only with verbal cues but also visual and vocal cues. While most research in the area of crisis communication has focused on verbal cues (e.g., apologies, denial), this paper explores the relative importance of visual and vocal cues by spokespersons of organizations in crisis. Two experimental studies have more specifically examined the impact of a spokesperson’s visual cues of deception (i.e., gaze aversion, posture shifts, adaptors), because sending a credible response is crucial in times of crisis. Each study focused on the interplay of these visual cues with two specific vocal cues that have also been linked to perceptions of deception (speech disturbances in study 1; voice pitch in study 2). Both studies show that visual cues of deception negatively affect both consumers’ attitudes towards the organization (study 1) and their purchase intentions (study 2) after a crisis. In addition, the findings indicate that in crisis communication, the impact of visual cues dominates the outcomes of vocal cues. In both studies, vocal cues only affected consumers’ perceptions when the spokesperson displayed visual cues of deception. More specifically, the findings show that crisis communication messages with speech disturbances (study 1) or a raised voice pitch (study 2) can negatively affect organizational post-crisis perceptions.

Recognition of facial expressions and vocal prosody was examined using the Diagnostic Assessment of Nonverbal Accuracy 2 (DANVA-2) and the Carolina Older Adult Test of Nonverbal Communication (COAT-NC) for 24 individuals with traumatic brain injury (TBI) and 24 matched controls. Results demonstrated that participants without TBI scored significantly higher than participants with TBI when presented with adult photo and voice stimuli. No significant group difference was noted with child photo and voice stimuli. Both groups scored significantly higher on photo subtests than on voice subtests for child and younger adult stimuli. For older adult stimuli, both groups scored significantly higher on the voice subtest than on the photo subtest. For the subjects with TBI, a significant relationship was found between scores on the voice subtests and a functional measure of cognition and communication.

Twenty Asperger’s Syndrome (AS) participants were compared with 20 matched neurotypical controls in their decoding of postural cues of boredom, interest, and disagreement. On a nonverbal matching task, the AS group performed as accurately as the controls, whereas on a verbal labeling task, AS participants made significantly more mistakes in labeling bored postures. Response times of the AS group were significantly slower than controls in their judgments of all three attitudes on both tasks, with the exception only of disagreeing postures on the verbal labeling task. It was hypothesized that these slower response times may reflect a feature-based cognitive processing style by AS participants. Proposed practical recommendations are to train AS individuals in the recognition of boredom, and to improve the speed with which they can recognize different attitudes.

Two experiments investigated the impact of group membership on non-conscious behavioral mimicry. Female participants viewed videotapes of female confederates who rubbed their faces whilst describing a picture. The extent to which the participant mimicked this face rubbing behavior was assessed from video footage taken using a hidden video-camera. Experiment 1 showed greater mimicry of a member of an in-group than of a member of an out-group. Experiment 2 showed both explicit and implicit liking of a target group to predict the extent of mimicry of a member of that group. There was a positive relationship between implicit liking and mimicry but a negative relationship between explicit liking and mimicry. Results are discussed in terms of processes underlying mimicry.

Cognitive models of social anxiety provide a basis for predicting that the ability to process nonverbal information accurately and quickly should be impaired during the experience of state anxiety. To test this hypothesis, we assigned participants to threatening and non-threatening conditions and asked them to label the emotions expressed in a series of faces. It was predicted that social anxiety would be positively associated with errors and response times in threatening conditions, but not in a non-threatening condition. It was also predicted that high social anxiety would be associated with more errors and longer response times when identifying similar expressions such as sadness, anger, and fear. The results indicate that social anxiety was not associated with errors in identifying facial expressions of emotion, regardless of the level of state anxiety experienced. However, social anxiety scores were found to be significantly related to response times to identify facial expressions, but the relationship varied depending on the level of state anxiety experienced. Methodological and theoretical implications of using response time data when assessing nonverbal ability are discussed.

This article discusses a new systems model of dyadic nonverbal interaction. The model builds on earlier theories by integrating partners’ parallel sending and receiving nonverbal processes into a broader, dynamic ecological system. It does so in two ways. First, it moves the level of description beyond the individual level to the coordination of both partners’ contributions to the interaction. Second, it recognizes that the relationships between (a) individuals’ characteristics and processes and (b) the social ecology of the interaction setting are reciprocal and best analyzed at the systems level. Thus, the systems model attempts to describe and explain the dynamic interplay among individual, dyadic, and environmental processes in nonverbal interactions. The potential utility and the limitations of the systems model are discussed and the implications for future research considered. Although the systems model is focused explicitly on face-to-face nonverbal communication, it has considerable relevance for digital communication. Specifically, this model provides a useful framework for examining the social effects of mobile device use and as a template for studying human–robot interactions.