Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
By Alessandro Vinciarelli, Maja Pantic, Dirk K. J. Heylen, Catherine Pelachaud, Isabella Poggi, Francesca D’Errico, Marc Schröder. IEEE Transactions on Affective Computing, 2012
389 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/7a0e9ce1cbcfa44ca4826822c3685fea600a97d3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Björn Schuller
- Maja Pantic
- Michel François Valstar
- R. Cowie
- Florian Eyben
- Bihan Jiang
- Fabien Ringeval
- Chen Change Loy
In Social Psychology
- Maja Pantic
- Björn Schuller
- Michel François Valstar
- Fabien Ringeval
- Denis Lalanne
- Jonathan Gratch
- R. Cowie
- Chen Change Loy
Citations in the corpus
- Learning Social Relation Traits from Face Images (2015, background): “Understanding social relation is an important research topic in social signal processing [4, 29, 30, 36, 37], an important multidisciplinary problem that has attracted a surge of interest from computer vision community.”
- AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge (2014, background): “Social Signal Processing addresses all verbal and non-verbal communicative signalling during social interactions, be they of an affective nature or not [28].”
- Static and dynamic 3D facial expression recognition: A comprehensive survey (2012, neutral): “prototypical expressions of emotions [5,4,6,7].”
- A Survey of Personality Computing (2014, neutral): “In more general terms, every application expected to seamlessly integrate our everyday life [97] or interact with humans like humans do [10] is likely to benefit from Personality Computing.”
- AVEC 2013: the continuous audio/visual emotion and depression recognition challenge (2013, background): “Social Signal Processing addresses all verbal and non-verbal communicative signalling during social interactions, be they of an affective nature or not [27].”
- From Facial Expression Recognition to Interpersonal Relation Prediction (2016, background): “Understanding interpersonal relation can be regarded as a subfield under social signal processing [8,56,60,75,76], an important multidisciplinary problem that has attracted a surge of interest from computer vision community.”
- AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge (2016, background): “Social Signal Processing addresses all verbal and non-verbal communicative signalling during social interactions, be they of an affective nature or not [53].”