The 1000 Most Cited Papers on Visible Nonverbal Behavior: A Bibliometric Analysis

Clap, Clap, Clap - Unsystematic Review Essay on Clapping and Applause

The rationale for the following unsystematic review article is to provide a dense description of clapping behavior from an ethological, psychological, anthropological, sociological, ontological, and even physiological perspective. The article delves into its historical uses, possible biological-ethological evolution, and primitive and cultural polysemic-multipurpose social functions. It explores the different distal and immediate messages transmitted by the simple act of clapping, to its more complex attributes like synchronicity, social contagion, as a device of social status signaling, soft biometric data, and its, till now, mysterious subjective experience. The subtle distinction between clapping and applause will be explored. A list of primary social functions will be introduced based on the literature on clapping. In addition, a series of unresolved questions and possible research avenues will be suggested. In contrast, out of the scope of the essay and published as a second article will be the contents of clapping morphological variations and a comprehensive description of purposes achieved through them.

From criminal interrogations to investigative interviews: a bibliometric study

This paper presents the results of a bibliometric study providing a comprehensive overview of the social science research conducted on criminal interrogations and investigative interviews since the 1900s. The objectives are to help researchers to further understand the research field, to better communicate research findings to practitioners, to help practitioners understand the breadth of scientific knowledge on criminal interrogations and investigative interviews, and to foster dialog between researchers and practitioners. To begin, after a brief description of Web of Science, we describe how we developed our database on criminal interrogations and investigative interviews. Then, we report the yearly evolution of articles, the journals where they were published, the research areas covered by this research field, as well as the authors, the institutions and the countries that published the most on a variety of topics related to criminal interrogations and investigative interviews. Finally, we present the most used keywords and the most cited articles, and examine the research on questionable tactics and techniques in the research field of criminal interrogations and investigative interviews. This paper ends with a critical look at the results, for the benefit of researchers and practitioners interested in criminal interrogations and investigative interviews.

Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions' prototypicality

Automatic facial coding (AFC) is a promising new research tool to efficiently analyze emotional facial expressions. AFC is based on machine learning procedures to infer emotion categorization from facial movements (i.e., Action Units). State-of-the-art AFC accurately classifies intense and prototypical facial expressions, whereas it is less accurate for non-prototypical and less intense facial expressions. A potential reason might be that AFC is typically trained with standardized and prototypical facial expression inventories. Because AFC would be useful to analyze less prototypical research material as well, we set out to determine the role of prototypicality in the training material. We trained established machine learning algorithms either with standardized expressions from widely used research inventories or with unstandardized emotional facial expressions obtained in a typical laboratory setting and tested them on identical or cross-over material. All machine learning models' accuracies were comparable when trained and tested with held-out dataset from the same dataset (acc. = [83.4% to 92.5%]). Strikingly, we found a substantial drop in accuracies for models trained with the highly prototypical standardized dataset when tested in the unstandardized dataset (acc. = [52.8%; 69.8%]). However, when they were trained with unstandardized expressions and tested with standardized datasets, accuracies held up (acc. = [82.7%; 92.5%]). These findings demonstrate a strong impact of the training material's prototypicality on AFC's ability to classify emotional faces. Because AFC would be useful for analyzing emotional facial expressions in research or even naturalistic scenarios, future developments should include more naturalistic facial expressions for training. This approach will improve the generalizability of AFC to encode more naturalistic facial expressions and increase robustness for future applications of this promising technology.

Automatic facial coding predicts self-report of emotion, advertisement and brand effects elicited by video commercials

Introduction

Consumers' emotional responses are the prime target for marketing commercials. Facial expressions provide information about a person's emotional state and technological advances have enabled machines to automatically decode them.

Method

With automatic facial coding we investigated the relationships between facial movements (i.e., action unit activity) and self-report of commercials advertisement emotion, advertisement and brand effects. Therefore, we recorded and analyzed the facial responses of 219 participants while they watched a broad array of video commercials.

Results

Facial expressions significantly predicted self-report of emotion as well as advertisement and brand effects. Interestingly, facial expressions had incremental value beyond self-report of emotion in the prediction of advertisement and brand effects. Hence, automatic facial coding appears to be useful as a non-verbal quantification of advertisement effects beyond self-report.

Discussion

This is the first study to measure a broad spectrum of automatically scored facial responses to video commercials. Automatic facial coding is a promising non-invasive and non-verbal method to measure emotional responses in marketing.

Darwin's illegitimate children: How body language experts undermine Darwin's legacy

The Expression of the Emotions in Man and Animals has received and continues to receive much attention from emotion researchers and behavioural scientists. However, the common misconception that Darwin advocated for the universality of emotional reactions has led to a host of unfounded and discredited claims promoted by 'body language experts' on both traditional and social media. These 'experts' receive unparalleled public attention. Thus, rather than being presented with empirically supported findings on non-verbal behaviour, the public is exposed to 'body language analysis' of celebrities, politicians and defendants in criminal trials. In this perspective piece, we address the misinformation surrounding non-verbal behaviour. We also discuss the nature and scope of statements from body language experts, unpacking the claims of the most viewed YouTube video by a body language expert, comparing these claims with actual research findings, and giving specific attention to the implications for the justice system. We explain how body language experts use (and misuse) Darwin's legacy and conclude with a call for researchers to unite their voices and work towards stopping the spread of misinformation about non-verbal behaviour.

What's in a face: Automatic facial coding of untrained study participants compared to standardized inventories

Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. AFC can classify emotional expressions with high accuracy in standardized picture inventories of intensively posed and prototypical expressions. However, classification of facial expressions of untrained study participants is more error prone. This discrepancy requires a direct comparison between these two sources of facial expressions. To this end, 70 untrained participants were asked to express joy, anger, surprise, sadness, disgust, and fear in a typical laboratory setting. Recorded videos were scored with a well-established AFC software (FaceReader, Noldus Information Technology). These were compared with AFC measures of standardized pictures from 70 trained actors (i.e., standardized inventories). We report the probability estimates of specific emotion categories and, in addition, Action Unit (AU) profiles for each emotion. Based on this, we used a novel machine learning approach to determine the relevant AUs for each emotion, separately for both datasets. First, misclassification was more frequent for some emotions of untrained participants. Second, AU intensities were generally lower in pictures of untrained participants compared to standardized pictures for all emotions. Third, although profiles of relevant AU overlapped substantially across the two data sets, there were also substantial differences in their AU profiles. This research provides evidence that the application of AFC is not limited to standardized facial expression inventories but can also be used to code facial expressions of untrained participants in a typical laboratory setting.

Features of the Impact of Self-Assessments of the Face on the Emotional Component

The purpose of the study is to determine the hierarchy of the intensity of the impact of the totality of factors (self-assessments of the face, satisfaction, concern about the appearance) on the subjective well-being of the person and its components. At the first stage, the intensity of the impact of concern, satisfaction with the appearance on the self-esteem of the face were determined. The second stage tested the hypothesis of the hierarchical intensity of the effect of three predictors on the subjective assessment of well-being. The study involved 188 people (~35% male and ~65% female) aged 18 to 45 years (M = 26.6), The distribution of study participants by individual self-assessment levels is as follows: ~ 32% have a low and below average level; 34.6% — average level; 33.5% are distinguished by a high and above average level of assessment of their face (c2 = 166.435 at p = 0.000).Methods used: 1. Questionnaire “Self-assessment of appearance,” developed by V.A. Labunskaya. 2. The scale “Subjective well-being” in the adaptation of V.M. Sokolova. 3. Questionnaire “Attitude to its appearance: satisfaction and concern,” developed by E.V. Kapitanova, V.A. Labunskaya. Mathematical procedures: c2, Kraskel-Wallace criteria, Mann-Whitney U, linear and step-by-step regression analysis (IBM SPPS Statistical 23.0).Results of the study: a combination of predictors (satisfaction, concern about the appearance, self-esteem of the face) has a significant but insufficiently intense effect on subjective well-being; face self-esteem affects the most intensely; the expression of satisfaction with the appearance affects only certain components of subjective well-being; concern about the appearance does not affect both the integral subjective assessment of well-being and the assessments of its components.

Split-Second Unlearning: Developing a Theory of Psychophysiological Dis-ease

Psychophysiological “stress” underpins many conditions including anxiety, depression, phobias, chronic fatigue syndrome and non-specific musculoskeletal pain such as fibromyalgia. In this article we develop an understanding of chronic psychophysiological stress from a psychological educational perspective, by drawing on supporting evidence that significant emotional events in early life (traumatic and benign) can influence health and well-being later in life. We suggest that traumatic events instigate psychophysiological “stress” responses and the formation of emotional memory images (EMIs) within very short time frames, i.e., “split-second learning.” Once formed these emotional memories are triggered in daily living “re-playing” psychophysiological stress responses, resulting in chronic psychophysiological “dis-ease.” We describe a novel therapeutic approach to scan clients for mannerisms signifying a subconscious “freeze-like” stress response that involves the client as a curious observer within their own experience, feeding back the non-verbal cues as they arrive in the moment. By breaking down the observable fragments of their split-second Pavlovian response to the trigger, clients can detach their EMI from the psychophysiology stress response, i.e., “split-second unlearning.” Our split-second unlearning model recognizes the EMI as a barrier to moving forward and needs to be unlearned before the client can become naturally adaptive again. We argue that this approach places the client at the center of the work without the need of getting bogged down in a life-long narrative.

Psycho-Oncology: A Bibliometric Review of the 100 Most-Cited Articles

(1) Background: A bibliometric review of psycho-oncology research is overdue. (2) Methods: The 100 most-cited journal articles were compiled and ranked according to Scopus. (3) Results: The total citation count for the results ranged from 488-8509 (Mean = 940.27; SD = 1015.69). A significant correlation was found between years since publication and number of citations (p = 0.039). The majority of research originated from the United States (66%). The vast majority of research publications were original articles (80%). Observational research study designs represented the majority of studies (37%). Mixed cancer population research studies represented the largest cancer research population (36%). Positive psychology topics represented the most prolific proportion of studies (30%). Findings were reported in line with PRISMA-ScR guidelines. (4) Conclusions: This analysis offers a comprehensive account of seminal journal articles in psycho-oncology, identifying landmark contributions and areas for future research developments within the field, namely highlighting a need for more RCT studies. This analysis serves as an educational tool for interdisciplinary researchers and clinicians to support compassionate cancer care.

"My cheeks get red and my brain gets scared": A computer assisted interview to explore experiences of anxiety in young children on the autism spectrum

BACKGROUND

Anxiety symptoms are common in children on the autism spectrum and may be present at an early age. While a multi-informant approach is considered best practice in the assessment of anxiety, self-reports from young children on the autism spectrum are rarely included.

AIMS

The aim of this study was to utilise a computer-assisted interview procedure incorporating visual prompts to elicit the viewpoints of children about their experiences of anxiety.

METHODS AND PROCEDURES

Ten children aged 5-8 years who were diagnosed on the autism spectrum completed the interview. Directed content analysis was used to explore the data generated in the interview.

OUTCOMES AND RESULTS

A wide range of situations that trigger anxiety, and responses to anxiety, were reported across the participant group. These responses may be unrecognised as anxiety by others. The children provided positive feedback on the use of the computer-assisted interview.

CONCLUSIONS AND IMPLICATIONS

The child's own self-report can inform parents and professionals of the situations which make them more or less anxious and the behaviours that they use to communicate their anxiety in that specific situation. The use of a computer-assisted interview may be an effective method to support self-report of anxiety-related experiences for young children on the autism spectrum.

Automatic facial coding versus electromyography of mimicked, passive, and inhibited facial response to emotional faces

Decoding someone's facial expressions provides insights into his or her emotional experience. Recently, Automatic Facial Coding (AFC) software has been developed to provide measurements of emotional facial expressions. Previous studies provided first evidence for the sensitivity of such systems to detect facial responses in study participants. In the present experiment, we set out to generalise these results to affective responses as they can occur in variable social interactions. Thus, we presented facial expressions (happy, neutral, angry) and instructed participants (N = 64) to either actively mimic, to look at them passively (n = 21), or to inhibit their own facial reaction (n = 22). A video stream for AFC and an electromyogram (EMG) of the zygomaticus and corrugator muscles were registered continuously. In the mimicking condition, both AFC and EMG differentiated well between facial expressions in response to the different emotional pictures. In the passive viewing and in the inhibition condition AFC did not detect changes in facial expressions whereas EMG was still highly sensitive. Although only EMG is sensitive when participants intend to conceal their facial reactions, these data extend previous findings that Automatic Facial Coding is a promising tool for the detection of intense facial reaction.

Justice and Nonverbal Communication in a Post-pandemic World: An Evidence-Based Commentary and Cautionary Statement for Lawyers and Judges

On 11 March 2020, the World Health Organization officially declared COVID-19 a pandemic. The new physical distancing rules have had many consequences, some of which are felt throughout the justice system. Courts across the world limited their operations. Nonetheless, given that justice delayed is justice denied, many jurisdictions have turned to technologies for urgent matters. This paper offers an evidence-based comment and caution for lawyers and judges who could be inclined, for concerns such as cost and time saving, to permanently step aside from in-person trials. Using nonverbal communication research, in conjunction with American and Canadian legal principles, we argue that such a decision could harm the integrity of the justice system.

Nonverbal Communication

The field of nonverbal communication (NVC) has a long history involving many cue modalities, including face, voice, body, touch, and interpersonal space; different levels of analysis, including normative, group, and individual differences; and many substantive themes that cross from psychology into other disciplines. In this review, we focus on NVC as it pertains to individuals and social interaction. We concentrate specifically on ( a) the meanings and correlates of cues that are enacted (sent) by encoders and ( b) the perception of nonverbal cues and the accuracy of such perception. Frameworks are presented for conceptualizing and understanding the process of sending and receiving nonverbal cues. Measurement issues are discussed, and theoretical issues and new developments are covered briefly. Although our review is primarily oriented within social and personality psychology, the interdisciplinary nature of NVC is evident in the growing body of research on NVC across many areas of scientific inquiry.