Nonverbal Behavior Research Articles

공감의 관점에서 분석한 연극교육의 가치 연구

In this study, we attempted to reveal, by analyzing the experience structure of ‘creating an impromptu play,’ that theater education in a competencybased curriculum can improve empathy. For this purpose, we looked at empathy. Empathy is the ability to understand others and is a concept that combines the cognitive element of being able to think from the other person's perspective and the emotional element of being able to feel the emotions of others. Empathy can be expressed through face-to-face social interaction experiences, as revealed by mirror neurons, so diverse direct experiences are of utmost importance. Based on this, the experience structure of ‘creating an impromptu play’ was divided into three stages and analyzed to be an experience structure that can promote empathy. The first step is ‘creating a story.’ This is a process that is premised on empathy from another person’s perspective, and when imagining a story, the body can promote empathy because it reenacts actions as if they were real. Since this process is structured through group cooperation, it can be analyzed as an immediate empathy training process from the perspective of others. The second step is ‘expressing roles.’ Depending on the body's operating principles, role experience can promote actions appropriate to one's imagination or fragmentary expressions can stimulate the rest of the body to provide sufficient role experience. Therefore, it is an experience structure that allows us to understand others in the most direct way. Additionally, since it is a face-to-face social interaction, you can practice empathy by experiencing the non-verbal behavior of others. The third step is ‘appreciating it as an audience member.’ Appreciation experience is an experience structure that allows one to escape the physical limitations of everyday life, understand others from their perspective, and internalize the life knowledge they have acquired through this, according to the body's operating principle of internal imitation. In this way, theater education has an experience structure based on empathy, so it can be an educational alternative for improving empathy in a competency-centered curriculum. By proving the value of theater education through this study, we hope that theater education will be more actively applied and expanded in various educational fields.

A Linguocognitive approach to the analysis of the interpreter’s language personality in an interpreting situation

The present article is devoted to the problem of applying a linguocognitive approach to the analysis of the linguistic personality of an interpreter/conference interpreter. The use of the linguocognitive approach seems to the author to be the most promising direction in view of the possibility of applying a comprehensive analysis of the interpreter’s verbal and non-verbal behavior. The conducted analysis − the study of the functional side of the linguistic personality at the moment of interpretation − contributes to the progress in the field of the national cognitive translation studies.The research aims to analyze the audiovisual series of simultaneous interpretations, which leads to the use of modern research methods in the analysis of verbal markers and the “unnoticed background”, including, on the one hand, the discursive features of linguistic personality in various sections of the language, and on the other hand, − intertextuality and creation of new meanings. The relevance of the linguocognitive approach in linguopersonology is due to the insufficiently studied mechanisms of comprehensive analysis of linguistic personality in general, as well as a rather limited number of studies of this kind.The author presents her view on the possibilities of applying linguocognitive analysis for a reliable and verifiable results of the interview genre research. The article describes the complexity and multi-dimensionality of the genre under study, reveals the destabilizing factors in the performance of interpretation that affect the manifestation of a linguistic personality, provides criteria for evaluating sounding speech, and the extent of its influence on the representation of linguistic personality, and, consequently, the success of the interpretation.The proposed approach to the study of the representation of the linguistic personality of an interpreter allows for linguistic and extralinguistic analysis, to study the verbal and nonverbal behavior of speakers, to assess the quality of translation, typologize translation errors, identify the features of prosody and non-verbal behaviour. In addition, the author introduces the term “an interpreting situation” in relation to the context of the study, describes the stages and the parameters of the source text analysis (translation degree) and destabilizing factors that affect the results of the study. The experimental study confirmed the prospects for the application of the linguocognitive approach; the representation of the interpreter/conference interpreter in the genre of television interview is marked by a special typical variety of text: a combination of journalistic and colloquial styles, the use of elliptical constructions, modality, syntactic and lexical repetitions.

How self-states help: Observing the embodiment of self-states through nonverbal behavior.

The concept of self-states is a recurring theme in various psychotherapeutic and counseling methodologies. However, the predominantly unconscious nature of these self-states presents two challenges. Firstly, it renders the process of working with them susceptible to biases and therapeutic suggestions. Secondly, there is skepticism regarding the observability and differentiation of self-states beyond subjective experiences. In this study, we demonstrate the feasibility of eliciting self-states from clients and objectively distinguishing these evoked self-states through the lens of neutral observers. The self-state constellation method, utilized as an embodied approach, facilitated the activation of diverse self-states. External observers then assessed the nonverbal manifestations of affect along three primary dimensions: emotional valence, arousal, and dominance. Our findings indicate that external observers could reliably discern and differentiate individual self-states based on the bodily displayed valence and dominance. However, the ability to distinguish states based on displayed arousal was not evident. Importantly, this distinctiveness of various self-states was not limited to specific individuals but extended across the entire recording sample. Therefore, within the framework of the self-state constellation method, it is evident that individual self-states can be intentionally evoked, and these states can be objectively differentiated beyond the subjective experiences of the client.

Decoupling the role of verbal and non-verbal audience behavior on public speaking anxiety in virtual reality using behavioral and psychological measures

Public speaking is a communication ability that is expressed in social contexts. Public speaking anxiety consists of the fear of giving a speech or a presentation and the perception of being badly judged by others. Such feelings can impair the performance and physiological activation of the presenter. In this study, eighty participants, most naive in Virtual Reality experience, underwent one of four virtual reality public speaking scenarios. Four different conditions were tested in a between-group design, where the audience could express positive or negative non-verbal behavior (in terms of body gesture and facial expression), together with positive or adverse questions raised during a question-and-answer session (Q&A). The primary outcomes concerned the virtual audience behavior’s effect on perceived anxiety and physiological arousal. In general, perceived anxiety seemed to be unaffected neither by the verbal nor non-verbal behavior of the audience. Nevertheless, experimental manipulation showed a higher susceptibility to public speaking anxiety in those participants who scored higher on the Social Interaction Anxiety Scale (SIAS) than those with lower Social Interaction Anxiety Scale scores. Specifically, in the case where the verbal attitude was negative, high SIAS trait participants reported a higher level of anxiety. Participants’ physiological arousal was also affected by the proposed scenarios. Participants dealing with an approving audience and encouraging Q&A reported increased skin conductance response. The lack of correlation between reported anxiety and skin conductance response might suggest a physiological engagement in an interactive exchange with the virtual audience rather than a form of discomfort during the task.

A Review of Virtual Impression Management Behaviors and Outcomes

Over the past half century, virtual interactions have become a mainstay of contemporary organizations, whether leveraged for formal job interviews or day-to-day communication. Despite this central role, there is a lack of a holistic understanding of how employees make and manage impressions in these virtual contexts. In this article, we review, organize, and evaluate the state of the growing body of cross-disciplinary research on virtual impression management. We develop a guiding theoretical framework that identifies three categories of virtual impression management behavior (verbal, nonverbal, and meta behavior) that meaningfully alter impressions, and the conditions under which these outcomes vary. Through considering this body of research as a whole, we highlight that virtual interactions are quite rich when it comes to creating impressions. By illustrating where virtual impression management research has concentrated thus far, our review enables us to conclude by offering an agenda for future research on virtual impression management.

Young Children & Implicit Racial Biases

Abstract Children are not born harboring racial biases, but they are born learning. Young children, even infants, learn from the “mere observation” of other people's behavior. Nonverbal signals of racial biases are abundant in children's everyday social environments. Studies show that preschool children acquire social group biases when they observe other people's social interactions and nonverbal behaviors. These new findings have implications for child development and educational equity. Even before kindergarten, racial biases are caught even when not explicitly taught, suggesting the need for practical actions for parents, teachers, and others concerned about the transmission of racial bias across generations.

Decoding emotions: Exploring the validity of sentiment analysis in psychotherapy

Objective Given the importance of emotions in psychotherapy, valid measures are essential for research and practice. As emotions are expressed at different levels, multimodal measurements are needed for a nuanced assessment. Natural Language Processing (NLP) could augment the measurement of emotions. The study explores the validity of sentiment analysis in psychotherapy transcripts. Method We used a transformer-based NLP algorithm to analyze sentiments in 85 transcripts from 35 patients. Construct and criterion validity were evaluated using self- and therapist reports and process and outcome measures via correlational, multitrait-multimethod, and multilevel analyses. Results The results provide indications in support of the sentiments’ validity. For example, sentiments were significantly related to self- and therapist reports of emotions in the same session. Sentiments correlated significantly with in-session processes (e.g., coping experiences), and an increase in positive sentiments throughout therapy predicted better outcomes after treatment termination. Discussion Sentiment analysis could serve as a valid approach to assessing the emotional tone of psychotherapy sessions and may contribute to the multimodal measurement of emotions. Future research could combine sentiment analysis with automatic emotion recognition in facial expressions and vocal cues via the Nonverbal Behavior Analyzer (NOVA). Limitations (e.g., exploratory study with numerous tests) and opportunities are discussed.

A multimodal dialogue system for customer service based on user personality adaptation and dialogue strategies

ABSTRACT This paper presents a multimodal dialogue system with user personality adaptation and multiple nonverbal behavior generation for a conversational android robot that plays a customer service role in recommending travel plans. It is useful to estimate the user's personality to realize a dialogue system that adapts the dialogue strategy to individual users. To improve the user's impression of the conversation robot as a customer service agent, we must control the nonverbal behavior of the robot, such as its facial expressions and motions. Moreover, we need to design the dialogue strategy to provide information and make users enjoy the conversation by adding an ice-breaking step. Against this background, we develop a dialogue system prototype that adjusts the dialogue strategy based on the user's personality, as estimated by a pre-trained multimodal sensing model. Furthermore, we implement appropriate nonverbal behavior patterns for each situation, including the voice, motion, and facial expressions of the android robot, to provide it appropriate and polite service agent behaviors. A personality assessment game is introduced into the dialogue to prevent the user from becoming bored. The game plays an ice-breaking role in the dialogue. To let the user engage with the robot, we implement a complement to the user as a dialogue act. We evaluate the proposed multimodal dialogue system for customer service by means of participation in a dialogue robot competition. The fair evaluation results from 26 dialogue users who conversed with multiple systems show that the proposed dialogue system achieved the best score among 13 teams participating in the preliminary round of the competition, indicating that the user personality adaptation and various elements implemented in our dialogue system improve the dialogue experience of general users. The results of a third-party evaluation and multiple regression analysis show that natural response is the most important factor contributing to user impression.

Differential Evaluation of Straight and Gay Men for Nonverbal Effeminate Behavior.

The purpose of this study was to determine how violation of gender-based expectancies might influence straight men's attitudes toward men who differ by sexual orientation (i.e., straight or gay). This study was specifically designed to avoid methodological issues that may have been present in similar research. Hypotheses were informed by Expectancy-Violation Theory (EVT) and the Black Sheep Effect (BSE), which together suggest that an effeminate straight man should be evaluated by other straight men more negatively than an effeminate gay man because the former target negatively violated expectations. Additionally, EVT suggests that a masculine gay man should be evaluated more positively than a masculine straight man because the former positively violates expectations, while the BSE instead suggests the latter should be evaluated more positively than the former due to ingroup bias. Self-identified straight men evaluated a male target whose sexual orientation and gender conformity were manipulated through a photo and vignette. A moderated mediation analysis was performed to determine if perceived expectancy violation mediated the relationship between sexual orientation and evaluations for both effeminate and masculine men. Straight effeminate targets were evaluated more negatively than gay effeminate targets; however, straight masculine targets were evaluated more favorably than gay masculine targets, a finding more consistent with the BSE. In addition, perceived expectancy violation did not mediate the relationship between sexual orientation and evaluations regardless of gender expression. More research should be conducted to identify the mechanisms through which evaluations of straight and gay targets differ based on gender expression.

A deepfake-based study on facial expressiveness and social outcomes

Artificial intelligence (AI)-generated media is used in entertainment, art, education, and marketing. AI-generated faces or facial expressions using deepfake-based technologies might also contribute to nonverbal behavior studies. As a proof of concept, in this research, we test the replicability of past results regarding the positive effects of facial expressiveness (e.g., gazing, nodding, and smiling) on social outcomes. Because the facial expressions when listening to someone (i.e., nonverbal immediacy) encompass several behaviors that are typically related (i.e., smiling while nodding), the effect of combinations of these behaviors is challenging to study. We thus test the effect of facial expressiveness (gazing, nodding, and smiling vs. none) on first impression judgements in a job interview setting using AI-generated experimental video material. We measure how competent, warm, and favorably independent observers (n = 823) perceive the targets (n = 159) showing AI-generated facial expressions. Our results replicate past research showing that the more targets are facially expressive, the more they are perceived favorably. Apart from supporting evidence of the importance of facial expressiveness for conveying a positive impression, we show the benefits of relying on AI-generated experimental video material for the study of nonverbal behavior.

Использование электронного коммуникативного приложения на основе PECS в работе с детьми с нарушениями развития. Кейс-исследование

<p><strong>Objectives. </strong>The use of alternative and augmented communication in children and adults with developmental disabilities significantly improves the skills necessary for successful social adaptation and learning. The article analyzes the results of using the PECS IV+ tablet communication app in several children with different types of developmental disabilities. <strong>Methods. </strong>Three children with different types of developmental disabilities (including autism, cognitive impairments etc.) aged 5–6 years took part in this case study. Participants study in the preschool department of the “My Planet” Inclusive Center. To test the effects and effectiveness of using the PECS IV+ application, a multiple-baseline design was used. We analyzed the transition from the analog version of PECS to the tablet application. The dependent variables were the number mands (non-verbal request behavior) and episodes of problem behavior. In addition, we calculated the d-Cohen effect size for each participant. <strong>Results. </strong>The average number of requests increased in the intervention phase in two out of three participants, medium effect of changes between phases is recorded for all participants. In terms of the number of episodes of problem behavior, a significant decrease was detected in two of the participants. The strong size of the effect of changes in this parameter between phases was revealed in two of the three participants. <strong>Conclusion. </strong>The study suggests that when using the e-application, the study participants showed reductions in some types of undesirable behaviours, as well as successful requesting skills.</p>

Is nonverbal behavior during conversation related to perceived fluency?

Is nonverbal behavior during conversation related to perceived fluency?

Exploring the Effectiveness of Evaluation Practices for Computer-Generated Nonverbal Behaviour

This paper compares three methods for evaluating computer-generated motion behaviour for animated characters: two commonly used direct rating methods and a newly designed questionnaire. The questionnaire is specifically designed to measure the human-likeness, appropriateness, and intelligibility of the generated motion. Furthermore, this study investigates the suitability of these evaluation tools for assessing subtle forms of human behaviour, such as the subdued motion cues shown when listening to someone. This paper reports six user studies, namely studies that directly rate the appropriateness and human-likeness of a computer character’s motion, along with studies that instead rely on a questionnaire to measure the quality of the motion. As test data, we used the motion generated by two generative models and recorded human gestures, which served as a gold standard. Our findings indicate that when evaluating gesturing motion, the direct rating of human-likeness and appropriateness is to be preferred over a questionnaire. However, when assessing the subtle motion of a computer character, even the direct rating method yields less conclusive results. Despite demonstrating high internal consistency, our questionnaire proves to be less sensitive than directly rating the quality of the motion. The results provide insights into the evaluation of human motion behaviour and highlight the complexities involved in capturing subtle nuances in nonverbal communication. These findings have implications for the development and improvement of motion generation models and can guide researchers in selecting appropriate evaluation methodologies for specific aspects of human behaviour.

Nonverbal cues to deception: insights from a mock crime scenario in a Chinese sample.

Nonverbal behaviors could play a crucial role in detecting deception, yet existing studies on deception cues have largely centered on Western populations, predominantly university students, thus neglecting the influence of cultural and sample diversity. To address this gap, our study explored deception cues within an Asian cultural setting, utilizing a mock crime paradigm. Our sample comprised Chinese participants, including both men and women with various socioeconomic status (SES) backgrounds. Our findings revealed that compared to truth tellers, liars exhibited heightened emotions and an increased cognitive load. Furthermore, liars showed a higher frequency of self-adaptors and a longer duration of gaze aversion. Our findings contribute to a more profound understanding of deception cues within Asian culture and have implications for practical fields such as criminal interrogation.

Cross-cultural Differences in Using Nonverbal Behaviors to Identify Indirect Replies

The ability to decode nonverbal cues is essential for effective cross-cultural communication. Despite the significance of nonverbal communication, research in this area has primarily focused on spoken language. This is particularly problematic during indirect communication, where there is a discrepancy between the surface meaning and the true intention (e.g., “Well, there is still room for improvement in your writing skills”). Misinterpretation of nonverbal cues during indirect communication can impede the decoding of true intention and potentially create hostile situations. The present study investigated cross-cultural differences in the use of nonverbal cues in decoding indirect messages. British and Chinese raters watched silent video clips and identified the types of replies from models of their own and the other culture. Results revealed that British raters were able to recognize indirect replies from British models but not from Chinese models above chance level, whereas Chinese raters were able to recognize indirect replies from models of both cultures above chance level. Furthermore, British raters showed higher accuracy and confidence in identifying indirect replies from British models than Chinese models. In contrast, Chinese raters were equally skilled and confident in identifying indirect replies from both British and Chinese models. Additionally, British and Chinese raters employed different nonverbal cues to recognize indirect replies from models of their respective cultures. These findings underscore the importance of cross-cultural differences in identifying indirect replies through nonverbal communication and provide insights to enhance intercultural communication between British and Chinese individuals.

Machine learning classification of autism spectrum disorder based on reciprocity in naturalistic social interactions

Autism spectrum disorder is characterized by impaired social communication and interaction. As a neurodevelopmental disorder typically diagnosed during childhood, diagnosis in adulthood is preceded by a resource-heavy clinical assessment period. The ongoing developments in digital phenotyping give rise to novel opportunities within the screening and diagnostic process. Our aim was to quantify multiple non-verbal social interaction characteristics in autism and build diagnostic classification models independent of clinical ratings. We analyzed videos of naturalistic social interactions in a sample including 28 autistic and 60 non-autistic adults paired in dyads and engaging in two conversational tasks. We used existing open-source computer vision algorithms for objective annotation to extract information based on the synchrony of movement and facial expression. These were subsequently used as features in a support vector machine learning model to predict whether an individual was part of an autistic or non-autistic interaction dyad. The two prediction models based on reciprocal adaptation in facial movements, as well as individual amounts of head and body motion and facial expressiveness showed the highest precision (balanced accuracies: 79.5% and 68.8%, respectively), followed by models based on reciprocal coordination of head (balanced accuracy: 62.1%) and body (balanced accuracy: 56.7%) motion, as well as intrapersonal coordination processes (balanced accuracy: 44.2%). Combinations of these models did not increase overall predictive performance. Our work highlights the distinctive nature of non-verbal behavior in autism and its utility for digital phenotyping-based classification. Future research needs to both explore the performance of different prediction algorithms to reveal underlying mechanisms and interactions, as well as investigate the prospective generalizability and robustness of these algorithms in routine clinical care.

Physician Communication Behaviors on Patient Satisfaction in Primary Care Medical Settings in Bangladesh.

This study aims at exploring the effects of physicians' communication behaviors on patients' satisfaction in primary care medical consultations in Chattogram, Bangladesh. The study used a quantitative research approach designed with a cross-sectional survey. Data were collected using post-consultation and facilitator administered questionnaire from the patients who visited the physician for medical consultation in different hospitals and clinics in Chattogram city. Seven hundred patients were included as the study participants. A hierarchical linear regression analysis was performed to examine the factors contributing to the outcome variables. A statistically significant difference (P < .001) appeared regarding patients' perception of adequate consultation, physicians' nonverbal behavior, inhibiting behavior and patients' participating behavior in private and public settings. However, R2 value shows that physicians' patient-centered behaviors appeared as the stronger predictors of patient satisfaction toward medical interviews, followed by socioeconomic variables of patients and physicians and patients' participation during the consultation. Presence of a third person with patients during consultation (β = -.05, P = .040), physicians' private setting of consultation (β = .16, P < .001), physicians' seniority (β = .05, P = .042), patients' participating behavior during consultation (β = .20, P < .001), physicians' nonverbal behavior (β = .10, P < .001), physicians' inhibiting behavior (β = -.39, P < .001), and physicians' facilitating behavior with patients (β = .32, P < .001) were reported as the influencing factors of patients' satisfaction with medical consultation. This study suggests the profound impact of physicians' patient-centered communication behaviors on patient satisfaction in primary care settings, overshadowing even socioeconomic factors and patient participation.

Unpacking Altercasting in Role Theory: The Biden Administration's Policy of Altercasting Germany into a Faithful Ally Role in Relations with China

Abstract The article contributes to scholarship on symbolic interactionist role theory in Foreign Policy Analysis, focusing on the concept of altercasting. Altercasting refers to verbal and non-verbal state behaviors in a role relationship to cast another state into roles that are complementary to its own roles. The article suggests putting more attention on the agency of the actor “doing” the altercasting to gain a better understanding of how altercasting works. To this purpose, the article develops a framework to unpack the agency of the altercasting actor. The framework addresses the preconditions for actors to engage in altercasting, the interplay of altercasting with domestic politics, and the available altercasting techniques. The article illustrates this framework in a case study on the efforts of the Biden administration to altercast Germany into a “faithful ally” role vis-à-vis China when the new German government transitioned into office in late 2021. Building on evidence from expert interviews among the U.S. foreign policy community, the case study demonstrates that the Biden administration had clear role expectations of Germany and understood the balance of opinion between the German coalition parties. The Biden administration used the altercasting techniques of self-presentation, signaling approval, and disapproval and making direct behavioral demands.

Особености на невербалната комуникация в кандидатпрезидентски дебати в България през 2016 г

Abstract::The performance of successful non-verbal communication in political and communication campaigns is necessary. The activities in election campaigns and in the television debates in particular are to be performed in several aspects: in macro-aspect the body language and the non-verbal communication is a process of creating a successful image for the needs of politics, business and social life, and it can be improved; in micro-aspect – through non-verbal communication as a new form of social distribution and inequality. The object of analysis is a television presidential candidates’ debate which took place in 2016. The goal is non-verbal communication codes used in the television debate to be outlined. The task is to identify the convincing impact of the non-verbal signs in the presidential election campaign. The hypothesis is that non-verbal communication combines with verbal communication and is an integral part of the preparation and implementation of the televised debates, of the pre-election rhetoric and contributes to persuading the television audience and to building the image and reputation of the presidential candidates. The methods applied are: theoretical review, media monitoring, case analysis through the perspective of verbal and non-verbal means. Keywords: communication campaign, nonverbal behavior, presidential election, débat, body language.

To Nod or Not to Nod: How Does Interviewer Nonverbal Behavior Affect Rapport Perceptions and Recall in Truth Tellers and Lie Tellers?

Researchers have often claimed that the interviewer’s nonverbal behavior such as nodding facilitates rapport building, the number of recalled details, and verbal veracity cues. However, there is no experiment to-date that isolated the effects of nodding in information gathering interviews. We thus examined the effects of interviewer’s nodding behavior on rapport perceptions and on the number and accuracy of total details provided by truth tellers and lie tellers. Participants (N = 150) watched a video recording and then reported it truthfully or falsely to an interviewer. The interviewer showed demeanor that was either supportive with nodding, supportive without nodding, or neutral. Truth tellers reported more total details than lie tellers and these effects were similar across demeanor conditions. No significant effects emerged for rapport perceptions and accuracy of total details. These results suggest that the interviewer’s nodding behavior does not affect rapport perceptions and details provided by truth tellers and lie tellers.