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Enregistrement W2405053004

Movement Correlation as a Nonverbal Cue in the Judgment of Affiliation during Social Interaction

2013· article· en· W2405053004 sur OpenAlexaffabout
Nida Latif, Adraino Barbosa, Eric Vatikiotis-Batesom, Monica S. Castelhano, Kevin G. Munhall

Notice bibliographique

RevueeScholarship (California Digital Library) · 2013
Typearticle
Langueen
DomainePsychology
ThématiqueAction Observation and Synchronization
Établissements canadiensUniversity of British ColumbiaQueen's University
Organismes subventionnairesnon disponible
Mots-clésConversationMovement (music)PsychologyPerceptionNonverbal communicationSocial cueSocial psychologyCorrelationSocial relationCognitive psychologyCommunicationAestheticsArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Movement Correlation as a Nonverbal Cue in the Judgment of Affiliation during Social Interaction Nida Latif (n.latif@queensu.ca) 1 Adriano V. Barbosa (adriano.vilela@gmail.com) 3 Eric Vatikiotis-Bateson (evb@mail.ubc.ca) 3 Monica S. Castelhano (monica.castelhano@queensu.ca) 1 Kevin G. Munhall (kevin.munhall@queensu.ca) 1,2 Department of Psychology, Queen’s University Kingston, ON K7L 3N6 Canada Department of Otolaryngology, Queen’s University Kingston, ON K7L 3N6 Canada Department of Linguistics, University of British Columbia Vancouver, BC V6T 1Z4 Canada Abstract It has been demonstrated that brief exposure to behavioral information is sufficient for making accurate social judgments. Movement coordination during social interaction, is one potential cue. Although coordination between individuals has been identified, our ability to perceive it when making judgments regarding affiliation (friends vs. strangers) is unknown. In the present studies, we investigated how correlated movement contributes to observers’ accuracy when judging affiliation. Using correlation map analysis to quantify coordination, we showed that individuals familiar with each other correlated their movements more frequently. Observers were able to use coordination as a cue, but only when the information presented was restricted to movement related to speech (i.e. while only viewing faces). These results suggest that observed movement coordination is influenced by speech-related movements. We suggest that social perception is multi-faceted and cues may be prioritized differentially based on availability. Keywords: social perception; social conversation; movement correlation interaction Introduction Humans are constantly immersed in social interaction and conversation. It is not surprising that we have mechanisms to facilitate these interactions, both while engaging in and observing them. One mechanism is our ability to create a rich representation of social cues from very brief exposures as short as a few seconds. These short exposures or “thin slices” of behavioral and linguistic information are sufficient for making remarkably accurate judgments regarding social situations. Research has demonstrated great accuracy in judgments in a variety of domains including personality, social status and mental states (Ambady & Rosenthal, 1993). However, little known about how specific cues contribute to our accuracy in social perception. Understanding how we use available social cues is important to human behavior because monitoring others’ intentions and actions is a prerequisite for modulating and guiding our own behavior, interactions, and relationship formation (Foulsham et al., 2010). In addition, using social cues is often impaired in many social and psychological disorders such as autism spectrum disorder and schizophrenia leading to difficulty in successful interaction (Klin et al., 2002). Previous research has looked at specific motion patterns that occur during interpersonal communication. Studies have demonstrated that individuals unintentionally synchronize and coordinate their movements and converge in linguistic properties during conversation (Richardson, Dale & Shockley, 2008; Richardson & Dale, 2005; Chartrand & van Baaren, 2009; Pardo, 2006). This has been shown with different attributes of conversation such as facial expression, postures and accents (Capella & Planalp, 1981; McHugo, Lanzetta, Sullivan, Masters & Englis, 1985). Individuals even unintentionally coordinate their movements without visual information from their partner (Shockley et al., 2003). Coordination without visual information suggests that convergence in behavior can be directly influenced by vocal information exchanged during conversation. Further, studies examining social-cognitive variables in convergence have shown through subjective observation that individuals with good rapport coordinate their movements (Grahe & Bernieri, 1999). Also, friends converge more in linguistic properties than strangers (Dunne & Ng, 2002). Coordination may occur because of inherent biological and behavioral rhythms as well as a coupling of conversation-engaged individuals’ mental representation of their perceptions of each other (Richardson & Dale, 2005; Meltzoff & Prinz, 2002). Although the presence of convergence in nonverbal and linguistic properties has been examined, our ability to perceive this convergence has not been investigated. In particular, the contribution of correlated movements has not been examined objectively in the perception of affiliation (i.e. whether individuals engaged in conversation are friends or strangers). The current studies use movement and coordination quantification methods to examine convergence between interacting individuals. These methods allowed us to investigate whether the amount of coordination differs as a function of affiliation and whether it contributes to the accuracy of affiliation judgments made by an external observer.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,003
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0050,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,252
Écart entre enseignants0,234 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission2
Résumé présentoui

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