TY  - JOUR
AU  - Maria Elena Meza-de-Luna
AU  - Juan Ramon Terven Salinas
AU  - Bogdan Raducanu
AU  - Joaquin Salas
PY  - 2016//
TI  - Assessing the Influence of Mirroring on the Perception of Professional Competence using Wearable Technology
T2  - TAC
JO  - IEEE Transactions on Affective Computing
SP  - 161
EP  - 175
VL  - 9
IS  - 2
KW  - Mirroring
KW  - Nodding
KW  - Competence
KW  - Perception
KW  - Wearable Technology
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/MTR2016.pdf
UR  - http://dx.doi.org/10.1109/TAFFC.2016.2606594
N1  - OR; 600.072;MV
ID  - Maria Elena Meza-de-Luna2016
ER  -