Relevant bibliographies by topics / Nonverbal behavior

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Nonverbal behavior'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Nonverbal behavior"

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Bailenson, Jeremy N., Andrew C. Beall, Jack Loomis, Jim Blascovich, and Matthew Turk. "Transformed Social Interaction: Decoupling Representation from Behavior and Form in Collaborative Virtual Environments." Presence: Teleoperators and Virtual Environments 13, no. 4 (August 2004): 428–41. http://dx.doi.org/10.1162/1054746041944803.

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Computer-mediated communication systems known as collaborative virtual environments (CVEs) allow geographically separated individuals to interact verbally and nonverbally in a shared virtual space in real time. We discuss a CVE-based research paradigm that transforms (i.e., filters and modifies) nonverbal behaviors during social interaction. Because the technology underlying CVEs allows a strategic decoupling of rendered behavior from the actual behavior of the interactants, conceptual and perceptual constraints inherent in face-to-face interaction need not apply. Decoupling algorithms can enhance or degrade facets of nonverbal behavior within CVEs, such that interactants can reap the benefits of nonverbal enhancement or suffer nonverbal degradation. Concepts underlying transformed social interaction (TSI), the ethics and implications of such a research paradigm, and data from a pilot study examining TSI are discussed.
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Woolfson, A. Peter. "Fundamentals of Nonverbal Behavior.:Fundamentals of Nonverbal Behavior." Journal of Linguistic Anthropology 4, no. 1 (June 1994): 82–83. http://dx.doi.org/10.1525/jlin.1994.4.1.82.

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Creswell, Kasey G., Michael A. Sayette, Jonathan W. Schooler, Aidan G. C. Wright, and Laura E. Pacilio. "Visceral States Call for Visceral Measures: Verbal Overshadowing of Hunger Ratings Across Assessment Modalities." Assessment 25, no. 2 (April 27, 2016): 173–82. http://dx.doi.org/10.1177/1073191116645910.

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We introduce a nonverbal “visceral” measure of hunger (i.e., squeezing a handheld dynamometer) and provide the first evidence of verbal overshadowing effects in this visceral domain. We presented 106 participants with popcorn and recorded their hunger levels in one of three conditions: (1) first report hunger using a traditional self-report rating scale (i.e., verbal measure) and then indicate hunger by squeezing a dynamometer (i.e., nonverbal measure), (2) first indicate hunger nonverbally and then indicate hunger verbally, or (3) indicate hunger only nonverbally. As hypothesized, nonverbal measures of hunger predicted subsequent eating behavior when they were uncontaminated by verbal measures—either because they preceded verbal measures of hunger or because they were the sole measure of hunger. Moreover, nonverbal measures of hunger were a better predictor of eating behavior than verbal measures. Implications of the study for communicating embodied experiences in a way that escapes the confines of symbolic representations are discussed.
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Drewes, V., N. Neumann, I. Konstantinidis, and I. Helmich. "Spontaneous head movements characterize losing athletes during competition." International Journal of Sports Science & Coaching 15, no. 5-6 (June 19, 2020): 669–76. http://dx.doi.org/10.1177/1747954120934598.

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Nonverbal movement behavior and emotions are closely linked processes; however, there is insufficient information about the spontaneous nonverbal expressions in response to experiencing positive and negative emotion, i.e., when winning or losing during sport competitions. Previous research showed that experienced tennis athletes detected losing behavior in athletes more accurately than winning behavior. However, it remained unclear what kind of nonverbal movements characterized losers because the actual movements have not been identified yet. Further research showed that head shaking occurred as an expression of doubt whereas head nodding appeared during successful actions. We therefore hypothesized that losing athletes nonverbally move more, and particularly execute more headshakes when compared to winners. The entire spontaneous nonverbal head movement behavior of professional tennis athletes was video-taped between points during competition and analyzed by two trained and certified raters using a standardized analysis system for nonverbal behavior in relation to won or lost points. The results showed that losers moved their head significantly more often, particularly executing more phasic upward, repetitive sideward (head shaking), and phasic sideward head movements when compared to winning athletes. The present results provide evidence that spontaneous nonverbal head movements differentiate winners from losers during competition. Losing a point in tennis is associated with to increased spontaneous head movement behavior, particularly in upward and sideward directions. Thus, we conclude that professional tennis athletes cannot inhibit their implicit nonverbal expressions that are related to negative emotions when losing.
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Sung, kyunghwan, and dongtaik Kwon. "A Study on Nonverbal Communication Behavior Types of Elementary School Teachers." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 20 (October 31, 2022): 799–811. http://dx.doi.org/10.22251/jlcci.2022.22.20.799.

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Objectives This study is to explore the types of nonverbal communication behaviors of elementary school teachers based on communication theory. Methods This study was conducted as a philosophical and psychological integrated approach to education that can scientifically support various perspectives on human behavior and human behavior and psychological processes for the study of teachers' nonverbal communication behavioral types. Based on the communication theoretical exploration of Jurgen Habermas and Satir, a literature study was conducted on the types of nonverbal communication behaviors of teachers. Results Looking at many previous studies, the nonverbal communication behaviors of teachers focused on the personal aspect with emphasis on the teacher's personality traits. In this study, the teacher's nonverbal communication behavior was considered not only in the personal aspect of the teacher but also in the social and environmental context through Habermas and Satir's communication theoretical exploration and classification of nonverbal behavioral factors according to previous studies on nonverbal communication behavior. The behavioral patterns that appear according to the necessity of children were divided into two types: body language type and environment language type. As sub-elements, body language type communication behavior types using body organs such as body movements, body sensations, and voices, and environmental language type communication behavior types using physical time and space, artificial symbols, and social systems as sub-elements. classified. Conclusions Conclusion When looking at the types of communication behaviors of teachers in the existing studies in the context of elementary school classrooms, our gaze is focused on the teacher's individual personality traits and the differences between verbal communication behavior and nonverbal communication behavior. There have been many studies that have measured the frequency. In this study, which was conducted to overcome the limitations that were difficult to categorize because the complexity of the nonverbal communication system and the range of its elements are very wide, based on the communication theory of Habermas and Satir, various nonverbal elements appearing in the nonverbal communication behavior of teachers were identified as common. In addition to understanding the characteristics of an individual teacher with a body, the teacher's communication behavior type is an integrated perspective of the temporal and spatial environment of school, classroom, class, and situation, which are the real life contexts in which the individual is involved. will have to be understood as.
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Hall, Judith A. "Nonverbal Behavior Versus Nonverbal Communication: Clarification Still Needed." Contemporary Psychology: A Journal of Reviews 30, no. 4 (April 1985): 311–12. http://dx.doi.org/10.1037/023728.

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Klinzing, Hans G., and Ian Jackson. "Training teachers in nonverbal sensitivity and nonverbal behavior." International Journal of Educational Research 11, no. 5 (January 1987): 589–600. http://dx.doi.org/10.1016/0883-0355(87)90018-8.

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Ormiston, Margaret. "Understanding Nonverbal Organizational Behavior." Academy of Management Proceedings 2016, no. 1 (January 2016): 16811. http://dx.doi.org/10.5465/ambpp.2016.16811symposium.

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Harrigan, Jinni A. "Studies in Nonverbal Behavior." Contemporary Psychology: A Journal of Reviews 31, no. 1 (January 1986): 50–51. http://dx.doi.org/10.1037/024433.

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Setiawan, Arif Budi, Kaspul Anwar, Laelatul Azizah, and Adhi Prahara. "Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview." Signal and Image Processing Letters 1, no. 1 (March 31, 2019): 25–31. http://dx.doi.org/10.31763/simple.v1i1.144.

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During interview, a psychologist should pay attention to every gesture and response, both verbal and nonverbal language/behaviors, made by the client. Psychologist certainly has limitation in recognizing every gesture and response that indicates a lie, especially in interpreting nonverbal behaviors that usually occurs in a short time. In this research, a real time facial expression recognition is proposed to track nonverbal behaviors to help psychologist keep informed about the change of facial expression that indicate a lie. The method tracks eye gaze, wrinkles on the forehead, and false smile using combination of face detection and facial landmark recognition to find the facial features and image processing method to track the nonverbal behaviors in facial features. Every nonverbal behavior is recorded and logged according to the video timeline to assist the psychologist analyze the behavior of the client. The result of tracking nonverbal behaviors of face is accurate and expected to be useful assistant for the psychologists.
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Dissertations / Theses on the topic "Nonverbal behavior"

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Floyd, Kory 1968. "Evaluative and behavioral responses to nonverbal liking behavior." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282653.

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An intuitive notion regarding the communication of liking is that it is consistently associated with positive relational outcomes. An alternative possibility is that when expressions of liking comprise a negative violation of expectancies, they produce outcomes that are actually more negative than those produced by the absence of such expressions. The current experiment tests this prediction with respect to evaluative and behavioral responses to nonverbal expressions of liking. Ninety-six adults were paired with same-sex strangers and induced to expect the strangers either to like or dislike them and to desire that the strangers either like or dislike them. The strangers, who were trained confederates, enacted nonverbal behaviors associated either with liking or disliking during a short experimental interaction with participants. Participants' evaluations of confederates were most favorable when confederates' behaviors matched participants' desires, whether the desire was to be liked or disliked. Behaviorally, participants matched desired behavior from confederates and reacted with complementarity to undesired behavior. These results suggest the counterintuitive notion that expressions of liking are not consistently associated with positive relational outcomes, but that factors such as receivers' desires and expectations largely determine what outcomes will be produced. The results also raise important issues for how expectations are conceptually and operationally defined.
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Muscanell, Nicole Lori. "Computer-mediated persuasion emoticons as a proxy for nonverbal behavior /." Thesis, [Tuscaloosa, Ala. : University of Alabama Libraries], 2009. http://purl.lib.ua.edu/2122.

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Müller, Olga. "Das nonverbale Verhalten des ecuadorianischen Präsidenten Rafael Correa - Eine Analyse mit dem Schwerpunkt Geschlecht und soziale Hierarchie." Master's thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-175872.

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Das Ziel der vorliegenden Arbeit besteht darin, den Wert der nonverbalen Ausdrucksmittel für einen erfolgreichen Kommunikationsverlauf zu verdeutlichen und aufzuzeigen, welche Rolle Geschlecht und soziale Hierarchie in der nonverbalen Kommunikation spielen und in welchem Maße sie eine Interaktion beeinflussen können. Als Untersuchungsgegenstand fungiert das nonverbale Verhalten des ecuadorianischen Präsidenten Rafael Vicente Correa Delgado, wobei der Fokus auf den Faktoren Geschlecht und soziale Hierarchie und deren Ausdruck in der nonverbalen Kommunikation liegt. Die Durchführung der Untersuchung erfolgt anhand des medial inszenierten Abbildes von Rafael Correa, das ihn in einer diskursiven Beziehung darstellt, d.h. Aufzeichnungen politischer Debatten und Interviews, die auf internationaler Ebene stattgefunden haben. Bei der Auswahl des Untersuchungsgegenstandes wird Wert auf Verschiedenheit der Konstellationen der Interaktionspartner (Status und Geschlecht) gelegt, um einen Vergleich des nonverbalen Verhaltens zu ermöglichen. Es ergeben sich für die vorliegende Arbeit folgende Hauptfragen, die es mit Hilfe der Untersuchung zu beantworten gilt: Inwieweit spiegelt das nonverbale Verhalten des ecuadorianischen Präsidenten Rafael Correa in einer Interaktion seine soziale Hierarchie wider und weist geschlechtsspezifische Züge auf? Variiert je nach sozialer Hierarchie und Geschlecht seiner Interaktionspartner das nonverbale Verhalten des ecuadorianischen Präsidenten Rafael Correa in einer Interaktion? Im Rahmen dieser Fragestellung ergeben sich ferner folgende Nebenfragen: In welcher Beziehung steht das nonverbale Verhalten des ecuadorianischen Präsidenten Rafael Correa zum verbalen Verhalten? Harmonieren diese zwei Ebenen miteinander, ergänzen sie sich oder widersprechen sie sich? Inwieweit zeigt sich die kulturelle Prägung im nonverbalen Verhalten Rafael Correas? Die Auswertung des nonverbalen Verhaltens Rafael Correas in asymmetrischer und in symmetrischer Beziehung macht deutlich, dass sowohl das Geschlecht als auch die soziale Hierarchie der Interaktionspartner Einfluss auf den Charakter und den möglichen Verlauf einer Interaktion nehmen. Anhand des Vergleichs des nonverbalen Verhaltens Correas in verschiedenen Konstellationen wird deutlich, dass das nonverbale Verhalten des Präsidenten von der sozialen Hierarchie und dem Geschlecht seiner Interaktionspartner nicht abhängig ist und somit nicht variiert. Die verbale und nonverbale Ebene ergänzen sich und weisen keine Widersprüchlichkeit auf. Es sind nur wenige kulturspezifische Verhaltensweisen des Präsidenten zu beobachten.
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Schuetzler, Ryan M. "Dynamic Interviewing Agents: Effects on Deception, Nonverbal Behavior, and Social Desirability." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556441.

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Virtual humans and other virtual agents are becoming more common in our everyday lives. Whether in the form of phone-based personal assistants or automated customer service systems, these technologies have begun to touch more of our activities. This research aims to understand how this technology affects the way we interact with our computer systems. Using a chat bot, I studied the way a conversational computer system affects the way people interact with and perceive automated interviewing systems in two different contexts. Study 1 examines the impact of a conversational agent on behavior during deception. It found that a conversational agent can have a powerful impact on people's perception of the system, resulting in individuals viewing the system as much more engaging and human. The conversational agent further results in a suppression of deception-related cues consistent with a more human-like interaction. Study 2 focuses on the effect of a conversational agent on socially desirable responding. Results of this study indicate that a conversational agent increases social desirability when the topic of the interview is sensitive, but has no effect when the questions are non-sensitive. The results of these two studies indicate that a conversational agent can change the way people interact with a computer system in substantial and meaningful ways. These studies represent a step toward understanding how conversational agents can shape the way we view and interact with computers.
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Olderbak, Sally. "Attachment Style and Nonverbal Behavioral Synchrony in Romantic Couples." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202511.

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Eshkol-Wachmann Movement Notation was applied to describe and quantify nonverbal behavioral synchrony between romantic partners. The interaction of 30 couples was observed across three study conditions, Pre-Stressor, and two Post-Stressor conditions when the female partner had been targeted with a stress manipulation. Participant-level behavior, and forms of dyadic synchrony were predicted with the male and females' self-reported attachment style. Results support theories from the attachment literature.
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Lee, Jin Joo Ph D. Massachusetts Institute of Technology. "Modeling the dynamics of nonverbal behavior on interpersonal trust for human-robot interactions." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69244.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 105-108).
We describe the design, implementation, and validation of a computational model for recognizing interpersonal trust in social interactions. We begin by leverage pre-existing datasets to understand the relationship between synchronous movement, mimicry, and gestural cues with trust. We found that although synchronous movement was not predictive of trust, synchronous movement is positively correlated with mimicry. That is, people who mimicked each other more frequently also move more synchronously in time together. And revealing the versatile nature of unconscious mimicry, we found mimicry to be predictive of liking between participants instead of trust. We reconfirmed that the following four negative gestural cues, leaning-backward, face-touching, hand-touching, and crossing-arms, when taken together are predictive of lower levels of trust, while the following three positive gestural cues, leaning-forward, having arms-in-lap, and open-arms, were predictive of higher levels of trust. We train and validate a probabilistic graphical model using natural social interaction data from 74 participants. And by observing how these seven important gestures unfold throughout the social interaction, our Trust Hidden Markov Model is able to predict with 94% accuracy whether an individual is willing to behave cooperatively or uncooperatively with their novel partner. And by simulating the resulting model, we found that not only does the frequency in the emission of the predictive gestures matter as well, but also the sequence in which we emit negative to positive cues matter. We attempt to automate this recognition process by detecting those trust-related behaviors through 3D motion capture technology and gesture recognition algorithms. And finally, we test how accurately our entire system, with low-level gesture recognition for high-level trust recognition, can predict whether an individual finds another to be trustworthy or untrustworthy.
by Jin Joo Lee.
S.M.
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Meservy, Thomas Oliver. "Augmenting Human Intellect: Automatic Recognition of Nonverbal Behavior with Application in Deception Detection." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194056.

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Humans have long sought to use technology to augment human abilities and intellect. However, technology is traditionally employed only to create speedier solutions or more-rapid comprehension. A more challenging endeavor is to enable humans with technology to gain additional or enhanced comprehension that may not be possible to acquire otherwise. One such application is the use of technology to augment human abilities in detecting deception using nonverbal cues. Detecting deception is often critical, whether an individual is communicating with a close friend, negotiating a business deal, or screening individuals at a security checkpoint.The detection of deception is a challenging endeavor. A variety of studies have shown that humans have a hard time accurately discriminating deception from truth, and only do so slightly better than chance. Several deception detection methods exist; however, most of these are invasive and require a controlled environment.This dissertation presents a technological approach to detecting deception based on kinesic (i.e., movement-based) and vocalic (i.e., sounds associated with the voice) cues that is firmly grounded in deception theory and past empirical studies. This noninvasive approach overcomes some of the weaknesses of other deception detection methods as it can be used in a natural environment without cooperation from the individual of interest.The automatable approach demonstrates potential for increasing humans' ability to correctly identify those who display behaviors indicative of deception. The approach was evaluated using experimental and field data. The results of repeated measures analysis of variance, linear regression and discriminant function analysis suggest that the use of such a system could augment human abilities in detecting deception by as much as 15-25%. While there are a number of technical challenges that need to be addressed before such a system could be deployed in the field, there are numerous environments where it would be potentially useful.
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SHAHID, MUHAMMAD. "Social Interactions Analysis through Deep Visual Nonverbal Features." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1040976.

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Human social interaction is as common as complex to understand. It is a part of our routine life ranging from houses to communal places either in direct face-to-face interaction or through digital media. During these interactions, humans exchange their thoughts, intentions, and emotions effectively. They use verbal language along with non-verbal social signals such as variation in voice tune, hand gestures, facial expressions, and body posture. This non-verbal part of communication is still less understood despite the fact of recent huge research progression and computational advancement. Recently, social interactions in groups such as meetings, standing conversations, interviewing, and discussions have become popular areas of research for the social computing domain. In this thesis, we propose and investigate novel computational approaches for the application of emergent leadership detection, leadership style prediction, personality traits classification, and visual voice activity detection in the context of small group interactions. First of all, we investigated emergent leadership detection in small group meeting environments. The leaders are key players in making the decision, facing problems, and as a result, playing an important role in an organization. In organizational behavioral research, the detection of an emergent leader is an important task. From the computing perspective, we propose visual activity-based nonverbal feature extraction from video streams by applying a deep learning approach along with the feature encoding for low dimensional representation. Our method shows improved results even as compared to multi-modal non-verbal features extracted from audio and visual. These novel features also performed well for the application of autocratic or democratic leadership style prediction and the discrimination of high/low extraversion. Afterwards, we explored the problem of voice activity detection (VAD) extensively. VAD is defined as Who is Speaking and When". Usually, VAD is accomplished using audio features only. But, due to some physical or privacy-related constraints, the audio modality is not always accessible which increases the importance of VAD based on visual modality only. Visual VAD is also a very useful for several social interactions analysis-related applications. We performed a detailed analysis to find out an efficient way of representing the raw video streams for this task. A full upper body-based holistic approach is adopted instead of using only lips motion or facial visual features as mostly suggested by the literature. Motivated from psychology literature, gesticulating style while speaking varies from person to person depending upon ethnic background or type of personality. An unsupervised domain adaptation is also adapted and gives a good boost in VAD performance. We introduce the new RealVAD dataset, which is used to benchmark the VAD methods in real-life situations. Lastly, we performed body motion cues based VAD learning in conjunction with a weakly supervised segmentation scheme.
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Beatty, Keturi D. "Mediated chameleons: An integration of nonconscious behavioral mimicry and the parallel process model of nonverbal communication." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc9934/.

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This study explored the state of art education in Turkey as revealed by pre-service art education university instructors, and the potential of incorporating visual culture studies in pre-service art education in Turkey. The instructors' ideas about visual culture, and popular culture, the impact it might have, the content (objects), and the practices within the context of Turkey were examined. Visual culture was examined from an art education perspective that focuses on a pedagogical approach that emphasizes the perception and critique of popular culture and everyday cultural experiences, and the analysis of media including television programs, computer games, Internet sites, and advertisements. A phenomenological human science approach was employed in order to develop a description of the perception of visual culture in pre-service art education in Turkey as lived by the participants. In-person interviews were used to collect the data from a purposive sample of 8 faculty members who offered undergraduate and graduate art education pedagogy, art history, and studio courses within four-year public universities. This empirical approach sought to obtain comprehensive descriptions of an experience through semi-structural interviews. These interviews employed open-ended questions to gather information about the following: their educational and professional background; their definitions of art education and art teacher education and what it means for them to teach pre-service art education; critical reflections on the educational system of Turkey; perceptions of visual and popular culture; and finally individual approaches to teaching art education. This study was conducted for the purpose of benefiting pre-service art teacher education in general and specifically in Turkey. It provided the rationale, the nature, and pedagogy of visual culture as well as the why and how of visual culture art education in the context of Turkey. Furthermore, it provided insights into the potential contribution of the concept of visual culture to the understanding of art and improvement of art teacher training in the context of Turkey.
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Birdsall, Carole Anne. "Self-reported and patient-reported nonverbal communication and empathy levels of nurses /." Access Digital Full Text version, 1991. http://pocketknowledge.tc.columbia.edu/home.php/bybib/1116833x.

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Thesis (Ed.D.) -- Teachers College, Columbia University, 1991.
Typescript; issued also on microfilm. Sponsor: Elizabeth M. Maloney. Dissertation Committee: Richard M. Wolf. Includes bibliographical references (leaves 129-143).
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Books on the topic "Nonverbal behavior"

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1947-, Feldman Robert S., and Rimé Bernard, eds. Fundamentals of nonverbal behavior. Cambridge [England]: Cambridge University Press, 1991.

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Wolfe, Siegman Aron, and Feldstein Stanley 1930-, eds. Nonverbal behavior and communication. 2nd ed. Hillsdale, N.J: L. Erlbaum, 1987.

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1947-, Feldman Robert S., and Rimé Bernard, eds. Fundamentals of nonverbal behavior. Cambridge: Cambridge University Press, 1991.

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name, No. Nonverbal behavior in clinical settings. New York, NY: Oxford University Press, 2003.

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Ellyson, Steve L., and John F. Dovidio, eds. Power, Dominance, and Nonverbal Behavior. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5106-4.

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C, McCroskey James, and Payne Steven K. 1957-, eds. Nonverbal behavior in interpersonal relations. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1991.

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C, McCroskey James, ed. Nonverbal behavior in interpersonal relations. 5th ed. Boston: Pearson/A and B, 2004.

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C, McCroskey James, ed. Nonverbal behavior in interpersonal relations. 3rd ed. Boston: Allyn and Bacon, 1995.

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L, Ellyson Steve, and Dovidio John F, eds. Power, dominance, and nonverbal behavior. New York: Springer-Verlag, 1985.

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Wolfe, Siegman Aron, and Feldstein Stanley 1930-, eds. Multichannel integrations of nonverbal behavior. Hillsdale, N.J: L. Erlbaum Associates, 1985.

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Book chapters on the topic "Nonverbal behavior"

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Skinner, Christopher H., and Ruth A. Ervin. "Functional Behavioral Assessment of Nonverbal Behavior." In Handbook of Nonverbal Assessment, 259–81. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0153-4_13.

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McCurdy, Merilee, Christopher H. Skinner, and Ruth A. Ervin. "Functional Behavioral Assessment of Nonverbal Behavior." In Handbook of Nonverbal Assessment, 269–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50604-3_16.

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LaFrance, Marianne, and Andrea C. Vial. "Gender and nonverbal behavior." In APA handbook of nonverbal communication., 139–61. Washington: American Psychological Association, 2016. http://dx.doi.org/10.1037/14669-006.

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Grimes, John E. "Evaluating Nonverbal Response Behavior." In Investigative Interviewing, 97–102. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.4324/9781003170150-10.

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Hall, Harold V., and Joseph G. Poirier. "Deception and Nonverbal Behavior." In Detecting Malingering and Deception, 83–97. Third edition. | Boca Raton : CRC Press, [2020] | Series: Pacific Institute series on forensic psychology: CRC Press, 2020. http://dx.doi.org/10.4324/9780429423031-7.

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Marchak, Frank M. "Measuring eye behavior." In APA handbook of nonverbal communication., 525–38. Washington: American Psychological Association, 2016. http://dx.doi.org/10.1037/14669-020.

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Walrath, Robert. "Nonverbal Learning Disability." In Encyclopedia of Child Behavior and Development, 1020. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1982.

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Adams, Reginald B., and Anthony J. Nelson. "Eye behavior and gaze." In APA handbook of nonverbal communication., 335–62. Washington: American Psychological Association, 2016. http://dx.doi.org/10.1037/14669-013.

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Mast, Marianne Schmid, and Sabine Sczesny. "Gender, Power, and Nonverbal Behavior." In Handbook of Gender Research in Psychology, 411–25. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1465-1_20.

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Davis, Martha. "Nonverbal Behavior Research and Psychotherapy." In From Research to Clinical Practice, 89–112. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-4820-7_5.

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Conference papers on the topic "Nonverbal behavior"

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Knyazev, Boris. "Human nonverbal behavior multi-sourced ontological annotation." In VIGTA '13: International Workshop on Video and Image Ground Truth in computer vision Applications. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2501105.2501111.

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Ishii, Ryo, Chaitanya Ahuja, Yukiko I. Nakano, and Louis-Philippe Morency. "Impact of Personality on Nonverbal Behavior Generation." In IVA '20: ACM International Conference on Intelligent Virtual Agents. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383652.3423908.

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McDuff, Daniel, and Jeffrey M. Girard. "Democratizing Psychological Insights from Analysis of Nonverbal Behavior." In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2019. http://dx.doi.org/10.1109/acii.2019.8925503.

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"Study on the Nonverbal Behavior in Psychological Counseling." In 2018 International Conference on Educational Technology, Training and Learning. Clausius Scientific Press, 2018. http://dx.doi.org/10.23977/icettl.2018.71149.

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Gallimore, Jennie J., Blake Ward, Adrian Johnson, Bobbie Leard, Jeremy Lewis, Kyle Preuss, and Julie Skipper. "Human Perceptions of Nonverbal Behavior Presented Using Synthetic Humans." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82641.

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Synthetic humans are computer-generated characters that are designed to behave like humans for the purpose of training or entertainment. The purpose of this study was to evaluate the perceptions of subjects interacting with synthetic humans to determine their responses to nonverbal behaviors, realism, and character personality. This study was part of a research program to develop a virtual game to train awareness of nonverbal communication for cross-cultural competency (3C). Three synthetic humans were created with different levels of realism with respect to their facial movements and skin textures. Low realism characters were defined as models purchased from the company Evolver, with additional facial action units (FAU) added to the character’s face. High realism characters were created based on a model of a real person’s head using 3D imaging cameras and a digital video camera. The same FAUs available in the Evolver characters were also coded into the high realism character as well as more realistic skin texture. During a virtual scenario the subject was asked to interview three characters in the U.S. Army. The subject interviewed each character one-on-one. The three computer characters included two white males, and one black female. The results of this study showed that it is possible to create synthetic humans that include nonverbal behaviors and personalities that are perceived by subjects, and that the subject’s own personal lens affected how they perceive the character. For example, the character Brent was rated similarly by most subjects with respect to personality traits as defined by the Big Five Factor Model. However, half the subjects indicated they liked him (friendly and confident), while about half the subjects did not like him (too confident as to be arrogant).
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Admoni, Henny, Thomas Weng, Bradley Hayes, and Brian Scassellati. "Robot nonverbal behavior improves task performance in difficult collaborations." In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2016. http://dx.doi.org/10.1109/hri.2016.7451733.

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Vinciarelli, A., H. Salamin, and M. Pantic. "Social Signal Processing: Understanding social interactions through nonverbal behavior analysis." In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009. http://dx.doi.org/10.1109/cvprw.2009.5204290.

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Vinciarelli, A., H. Salamin, and M. Pantic. "Social Signal Processing: Understanding social interactions through nonverbal behavior analysis." In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR Workshops). IEEE, 2009. http://dx.doi.org/10.1109/cvpr.2009.5204290.

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Rosenthal-von der Pütten, Astrid M., and Carolin Straßmann. "Interpretation of (In-)Congruent Nonverbal Behavior and Non-Linguistic Utterances." In HRI '18: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173386.3176964.

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Shiyan, Pang, Zhang Anran, Lai Shuhui, and Zuo Zhiqi. "Automatic Recognition of Teachers' Nonverbal Behavior Based on Dilated Convolution." In 2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2022. http://dx.doi.org/10.1109/iciscae55891.2022.9927572.

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Reports on the topic "Nonverbal behavior"

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Bloom, Carol. The Assessment of Interviewee Experience of the Expressive and Interpersonal Meanings of Interviewer Nonverbal Behavior. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2577.

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Kittana, Monia, Asma Ahmadani, Keith Williams, and Amita Attlee. Nutritional status and feeding behavior of children with autism spectrum disorder in the Middle East and North Africa Region: A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0066.

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Review question / Objective: To elucidate the literature available regarding the nutritional status and feeding behavior in children with Autism Spectrum Disorder (ASD) in Middle East and North Africa (MENA) region. Condition being studied: Autism spectrum disorder (ASD), a neurodevelopmental condition characterized by persistent challenges in social interaction, speech, nonverbal communication, and repetitive/restrictive behavior. Eligibility criteria: Children from the MENA region diagnosed with ASD, of both genders, ages 2-19 years. Outcomes reporting either anthropometrics, serum nutrient levels, nutrient intakes, and/or feeding behaviors. Other inclusion criteria include the availability of full-length published articles in either English or Arabic. Articles presented in conferences, magazines, or newspapers are excluded. If the data are reported in more than one publication, the more recent is included.
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Werkman, Doris. Comparative self-monitoring behavior and recall of verbal and nonverbal interactional information about partner in conversations with ablebodied and disabled partners. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5566.

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Dunn, Linda. The Voices I Never Hear: Communication Apprehension and Associated Nonverbal Behaviors in the Primary School Child. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6540.

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