The Summer School on Affective Computing and Social Signal Processing (ACSSP10) will provide a high quality forum for researchers active in affective computing and social signal processing worldwide. The school is focused on a series of topics of interest to researchers in the area of emotion and social signals in human-computer and human-robot interaction. Recognition and generation of affect and social signals will be addressed for the purpose of designing affect sensitive and socially interactive robots and virtual agents.
The main objective of the school is to provide broad coverage of the state-of-the-art of the addressed topics. The school also aims to extend the network of researchers active in these topics and help new researchers and students to meet people from different disciplines.
The school will run over three days, organised as follows. Every day will be dedicated to a specific topic, with lectures and tutorials provided by experts in the related field followed by presentations of work by students and researchers and poster sessions.
The school will address the following main research areas:
- Affect and social signals recognition
- Affective and social behaviour synthesis for social robots and virtual agents
- Closing the loop: models and applications
There will be a keynote talk from Jonathan Gratch, University of Southern California