D Gatica-Perez - Image and vision computing, 2009 - Elsevier
An increasing awareness of the scientific and technological value of the automatic understanding of face-to-face social interaction has motivated in the past few years a surge …
How understanding the signaling within social networks can change the way we make decisions, work with others, and manage organizations. How can you know when someone …
Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly …
Identifying emergent leaders in organizations is a key issue in organizational behavioral research, and a new problem in social computing. This paper presents an analysis on how …
In recent years, social robots have become part of a variety of human activities, especially in applications involving children, eg, entertainment, education, companionship. The interest of …
T Kim, E McFee, DO Olguin, B Waber… - Journal of …, 2012 - Wiley Online Library
This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at …
L Atallah, GZ Yang - Pervasive and mobile computing, 2009 - Elsevier
With the maturity of sensing and pervasive computing techniques, extensive research is being carried out in using different sensing techniques for understanding human behaviour …
The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has …
How can we model influence between individuals in a social system, even when the network of interactions is unknown? In this article, we review the literature on the “influence model,” …