Evaluation of Resonance in Staff Selection through Multimedia Contents

Bevilacqua, Vitoantonio; Salatino, Angelo A.; Leo, Carlo Di; D’Ambruoso, Dario; Suma, Marco; Barone, Donato; Tattoli, Giacomo; Campagna, Domenico; Stroppa, Fabio; Pantaleo, Michele

doi:10.1007/978-3-319-09339-0_19

Cited by 1 publication

(11 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Action Units (AUs), defined as minimal facial actions whose combination is used to compose the necessary facial expressions, have been determined by all these computed values. Thus, as defined in [6], facial features increasing of some their statistics and combined with the six fundamental emotions are detected.…”

Section: Domain Of Facial Featuresmentioning

confidence: 99%

“…In particular, in this paper, we describe the progress of a previous work [6] finalized to support the classification process between two opposite behavioral conditions (resonance and dissonance) of a candidate with his recruiter, during his first job interview, finalized to recommend him/her to the subsequent steps in the recruitment process. This aspect is delicate especially in unstructured interviews, based on a conversation with no predetermined questions or lines of investigation.…”

Section: Introductionmentioning

confidence: 98%

“…Based on the encouraging results of the experimental proposed system [6], in this paper, we propose a different approach analyzed by eliminating only some trivial outlier cases from the available databases of knowledge, formed by data extracted from video, audio and 3D sensors. Three new best topologies of multilayer perceptron classifiers are then proposed to check the robustness of the previous performance and discuss the related improvement.…”

Section: Introductionmentioning

confidence: 99%

“…The capability to recognize emotions and mood separately from facial expressions [2,4], human voice [5,23], gestures [1,3,12,17] and in a combined framework [6], has already shown significant improvements in man-computer interactions.…”

Section: Introductionmentioning

confidence: 99%

“…More in detail, our previous proposed framework [6] carried out an innovative system designed and implemented to extract and process non-verbal expressions such as facial, gestural and prosodic features of a generic individual, acquired during an interview session. The three domains were merged into a unique framework for nonverbal emotional recognition before performing a combined classification test.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Multimodal System for Nonverbal Human Feature Recognition in Emotional Framework

Bevilacqua

Carnimeo

Guccione

et al. 2015

Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015

Self Cite

View full text Add to dashboard Cite

A correct recognition of nonverbal expressions is currently one of the most important challenges of research in the field of human computer interaction. The ability to recognize human actions could change the way to interact with machines in several environments and contexts, or even the way to live. In this paper, we describe the advances of a previous study finalized to design, implement and validate an innovative recognition system already developed by some of the authors. It was aimed at recognizing two opposite emotional conditions (resonance and dissonance) of a candidate to a job position interacting with the recruiter during a job interview. Results in terms of the accuracy, resonance rate, and dissonance rate of the three new optimized neural networkbased (NN) classifiers are discussed. Comparison with previous results of three NN classifiers is also presented based on three single domains: facial, vocal and gestural.

show abstract

Section: Domain Of Facial Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%