Publications associées (12)

Understanding Applicants' Reactions to Asynchronous Video Interviews through Self-Reports and Nonverbal Cues

Daniel Gatica-Perez, Skanda Muralidhar

Asynchronous video interviews (AVIs) are increasingly used by organizations in their hiring process. In this mode of interviewing, the applicants are asked to record their responses to predefined interview questions using a webcam via an online platform. A ...
ACM2020

DETECTING EMOTIONAL STRESS FROM FACIAL EXPRESSIONS FOR DRIVING SAFETY

Jean-Philippe Thiran, Anil Yuce, Hua Gao

Monitoring the attentive and emotional status of the driver is critical for the safety and comfort of driving. In this work a real-time non-intrusive monitoring system is developed, which detects the emotional states of the driver by analyzing facial expre ...
2014

Computational Methods for Audio-Visual Analysis of Emergent Leadership in Teams

Dairazalia Sanchez Cortes

Face-to-face interactions are part of everyday life, ranging from family to working in teams and to global communities. Social psychologists have long studied these interactions with the aim of understanding behavior, motivations, and emergence of interact ...
EPFL2013

Exploiting observers' judgements for nonverbal group interaction analysis

Daniel Gatica-Perez, Oya Aran

Incorporating annotators' knowledge into a machine-learning framework for detecting psychological traits using multimodal data is an open issue in human communication and social computing. We present a model that is designed to exploit the subjective judge ...
IEEE2011

Inferring competitive role patterns in reality TV show through nonverbal analysis

Daniel Gatica-Perez

This paper introduces a new facet of social media, namely that depicting social interaction. More concretely, we address this problem from the perspective of nonverbal behavior-based analysis of competitive meetings. For our study, we made use of “The Appr ...
2010

Social Signals, their Function, and Automatic Analysis: A Survey

Hervé Bourlard, Alessandro Vinciarelli

Social Signal Processing (SSP) aims at the analysis of social behaviour in both Human-Human and Human-Computer interactions. SSP revolves around automatic sensing and interpretation of social signals, complex aggregates of nonverbal behaviours through whic ...
2008

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