ERM4CT 2015 - 1st joint workshop on Emotion Representations and Modelling for Companion Systems (ERM4CT 2015)
Date2015-11-13
Deadline2015-07-13
VenueSeattle, USA - United States
Keywords
Websitehttps://erm4ct.cogsy.de
Topics/Call fo Papers
The major goal in human computer interaction (HCI) research and applications is to improve the interaction between humans and computers. As the user's behaviour is often very specific to an individual and generally of multi-modal nature, the current trend of multi-modal user-adaptable HCI systems arose over the past years. These systems are designed as companions capable of assisting their users based on the users' needs, preferences, personality and affective state. However, the adequate incorporation of emotions in these modern HCI systems has proved to be a challenging task. Depending on the modalities used, the user model incorporated and the application scenario, varying difficulties in the emotion representations and modelling may arise.
The ERM4CT workshop is a joint-workshop of the 3rd "Emotion Representations and Modelling for HCI Systems" (ERM4HCI - http://erm4hci.kognitivesysteme.de/) and the 2nd "Techniques towards Companion Technologies (T2CT - http://t2ct.kognitivesysteme.de/) workshop. The ERM4CT workshop aims at highlighting the specific issues associated with the multi-modal emotion representations as needed in companion technologies. This results in a special focus on emotion representations and signal characteristics that describe and identify emotions as well as their influence on personality and user state models to be incorporated in companion systems.
The ERM4CT workshop is a joint-workshop of the 3rd "Emotion Representations and Modelling for HCI Systems" (ERM4HCI - http://erm4hci.kognitivesysteme.de/) and the 2nd "Techniques towards Companion Technologies (T2CT - http://t2ct.kognitivesysteme.de/) workshop. The ERM4CT workshop aims at highlighting the specific issues associated with the multi-modal emotion representations as needed in companion technologies. This results in a special focus on emotion representations and signal characteristics that describe and identify emotions as well as their influence on personality and user state models to be incorporated in companion systems.
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Last modified: 2015-05-26 22:47:23