Open AccessBook
Social Signal Processing
TLDR
It is argued that next-generation computing needs to include the essence of social intelligence - the ability to recognize human social signals and social behaviours like turn taking, politeness, and disagreement - in order to become more effective and more efficient.Abstract:
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 been argued to be indispensable and perhaps the most important for success in life. This paper argues that next-generation computing needs to include the essence of social intelligence - the ability to recognize human social signals and social behaviours like turn taking, politeness, and disagreement - in order to become more effective and more efficient. Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed arms, laughter, and similar, design and development of automated systems for social signal processing (SSP) are rather difficult. This paper surveys the past efforts in solving these problems by a computer, it summarizes the relevant findings in social psychology, and it proposes a set of recommendations for enabling the development of the next generation of socially aware computing.read more
Citations
More filters
Proceedings ArticleDOI
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
TL;DR: The Cohn-Kanade (CK+) database is presented, with baseline results using Active Appearance Models (AAMs) and a linear support vector machine (SVM) classifier using a leave-one-out subject cross-validation for both AU and emotion detection for the posed data.
Proceedings ArticleDOI
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
Björn Schuller,Stefan Steidl,Anton Batliner,Alessandro Vinciarelli,Klaus R. Scherer,Fabien Ringeval,Mohamed Chetouani,Felix Weninger,Florian Eyben,Erik Marchi,Marcello Mortillaro,Hugues Salamin,Anna Polychroniou,Fabio Valente,Samuel Kim +14 more
TL;DR: The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for the first time a unified test-bed for Social Signals such as laughter in speech and introduces conflict in group discussions as a new task and deals with autism and its manifestations in speech.
References
More filters
Book
Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research
Martin Fishbein,Icek Ajzen +1 more
Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Book
Social Network Analysis: Methods and Applications
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
Book
Handbook of social psychology
TL;DR: In this paper, Neuberg and Heine discuss the notion of belonging, acceptance, belonging, and belonging in the social world, and discuss the relationship between friendship, membership, status, power, and subordination.
Journal ArticleDOI
Robust Real-Time Face Detection
Paul A. Viola,Michael Jones +1 more
TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.