Nonverbal Social Sensing in Action: Unobtrusive Recording and Extracting of Nonverbal Behavior in Social Interactions Illustrated with a Research Example

Détails

ID Serval
serval:BIB_CABE49D9F6DB
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Nonverbal Social Sensing in Action: Unobtrusive Recording and Extracting of Nonverbal Behavior in Social Interactions Illustrated with a Research Example
Périodique
Journal of Nonverbal Behavior. Special Issue: Contemporary Perspectives in Nonverbal Research
Auteur(s)
Frauendorfer D., Schmid Mast M., Nguyen L., Gatica-Perez D.
ISSN
0191-5886
Statut éditorial
Publié
Date de publication
06/2014
Peer-reviewed
Oui
Volume
38
Numéro
2
Pages
231-245
Langue
anglais
Résumé
Nonverbal behavior coding is typically conducted by "hand". To remedy this time and resource intensive undertaking, we illustrate how nonverbal social sensing, defined as the automated recording and extracting of nonverbal behavior via ubiquitous social sensing platforms, can be achieved. More precisely, we show how and what kind of nonverbal cues can be extracted and to what extent automated extracted nonverbal cues can be validly obtained with an illustrative research example. In a job interview, the applicant's vocal and visual nonverbal immediacy behavior was automatically sensed and extracted. Results show that the applicant's nonverbal behavior can be validly extracted. Moreover, both visual and vocal applicant nonverbal behavior predict recruiter hiring decision, which is in line with previous findings on manually coded applicant nonverbal behavior. Finally, applicant average turn duration, tempo variation, and gazing best predict recruiter hiring decision. Results and implications of such a nonverbal social sensing for future research are discussed.
Mots-clé
Ubiquitous social sensing platform, Automated extraction, Applicant nonverbal behavior, Hiring decision, Job interview
Web of science
Création de la notice
20/10/2014 9:56
Dernière modification de la notice
03/03/2018 21:25
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