People are affected by an experience, and can respond to their experience with different emotional styles. Some people can learn a language more efficiently than others, or even acquire and be proficient in many languages. How do we explain a person’s emotional style and language learning capability in association of brain or memory? These may not be new but are still valid and interesting questions to explore. The advancements of affective computing (esp. emotional speech processing technology), and neuromorphic computing, for examples, may have shed some lights in these aspects and are also interesting areas of discussion. These integrated research directions could possibly lead to major breakthrough in the delivery of human-machine expressive spoken language interfaces in the future. This special session will provide a forum to discuss not only psychological development and research progress in affective and cognitive computing, but also challenges in the research and development of multimedia systems and human machine interfaces. There will be a panel discussion which aims to examine and provide insights into the topic. This session encourages young researchers to participate and actively interact and learn from the experts.

Topics of the session will include

Affective neuroscience
Automatic emotion detection from verbal and non-verbal cues
Automatic recognition of user personality, attention, mood in dialog
Challenges in human language processing
Cognitive development and interactive language learning
Expressive language translation
Expressive text-to-speech
Human-centred engineering
Human factor studies
Human robot interaction
Neuromorphic computing
Real time emotion recognition systems
Recognition, synthesis and analysis of human emotional behaviour
Social media and multimedia applications
Timing in discourse
Important Dates

Special Session paper submission deadline 11 May 2014
Notification of paper acceptance/rejection 22 June 2014
Camera-ready paper due 30 June 2014

IEEE Singapore Women in Engineering (WIE) Affinity Group
Swee Lan See, Institute for Infocomm Research, slsee [at]