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An increasing awareness of the scientific and technological value of the automatic understanding of faceto- face social interaction has motivated in the past few years a surge of interest in the devising of computational techniques for conversational analy ...
Automatic analysis of social interactions attracts major attention in the computing community, but relatively few benchmarks are available to researchers active in the domain. This paper presents a new, publicly available, corpus of political debates inclu ...
The migration of media consumption to personal computers retains distributed social viewing, but only via nonsocial, strictly personal interfaces. This article presents an architecture, and implementation for media sharing that allows for enhanced social i ...
This paper provides a general introduction to the concept of Implicit Human-Centered Tagging (IHCT) - the automatic extraction of tags from nonverbal behavioral feedback of media users. The main idea behind IHCT is that nonverbal behaviors displayed when i ...
Automatic analysis of social interactions attracts increasing attention in the multimedia community. This paper considers one of the most important aspects of the problem, namely the roles played by individuals interacting in different settings. In particu ...
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 ...
Our research work wishes to highlight the importance of the relationship between the vocal and physical behaviour of the manager and team motivation. In order to investigate this important relationship, a survey by means of a questionnaire and two field st ...
As humans appear to be literally wired for social interaction, it is not surprising to observe that social aspects of human behavior and psychology attract interest in the computing community as well. The gap between social animal and unsocial machine was ...
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable for new large-scale behavioral data analysis. The automatic analysis of vlogs is useful not only to study social media, but also remote communication scenario ...
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 ...