%0 Journal Article
%T Assessing the Influence of Mirroring on the Perception of Professional Competence using Wearable Technology
%A Maria Elena Meza-de-Luna
%A Juan Ramon Terven Salinas
%A Bogdan Raducanu
%A Joaquin Salas
%J IEEE Transactions on Affective Computing
%D 2016
%V 9
%N 2
%F Maria Elena Meza-de-Luna2016
%O OR; 600.072;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2826), last updated on Tue, 25 Oct 2022 09:46:07 +0200
%X Nonverbal communication is an intrinsic part in daily face-to-face meetings. A frequently observed behavior during social interactions is mirroring, in which one person tends to mimic the attitude of the counterpart. This paper shows that a computer vision system could be used to predict the perception of competence in dyadic interactions through the automatic detection of mirroringevents. To prove our hypothesis, we developed: (1) A social assistant for mirroring detection, using a wearable device which includes a video camera and (2) an automatic classifier for the perception of competence, using the number of nodding gestures and mirroring events as predictors. For our study, we used a mixed-method approach in an experimental design where 48 participants acting as customers interacted with a confederated psychologist. We found that the number of nods or mirroring events has a significant influence on the perception of competence. Our results suggest that: (1) Customer mirroring is a better predictor than psychologist mirroring; (2) the number of psychologist’s nods is a better predictor than the number of customer’s nods; (3) except for the psychologist mirroring, the computer vision algorithm we used worked about equally well whether it was acquiring images from wearable smartglasses or fixed cameras.
%K Mirroring
%K Nodding
%K Competence
%K Perception
%K Wearable Technology
%U http://refbase.cvc.uab.es/files/MTR2016.pdf
%U http://dx.doi.org/10.1109/TAFFC.2016.2606594
%P 161-175