Personal tools
You are here: Home workshops_folder Affective Computing and Emotion Recognition (ACER@WI)

Affective Computing and Emotion Recognition (ACER@WI)

Workshop Details
Affective computing became a key scenario for Artificial Intelligence. Various emotion-mining techniques can be exploited for creating and automating personalized interfaces or subcomponent technology for larger systems, i.e. in business intelligence, affective tutoring, recommender systems, social robots. Different from sentiment analysis, this approach works at a deeper level of abstraction, aiming to recognize specific emotions and not only the positive/negative sentiment, to extract, manage and predict emotions in limited sets, basing on well-accepted or novel models, thus to use them to be reported/classified or understood/elicited/expressed by a machine. The aim of the ACER workshop is to explore the Emotion Recognition area in depth, and to present, discuss and ideate novel affective computing and emotion recognition techniques in WI-related task, providing a cross-fertilized network of different communities focused on research, development and applications of emotion recognition.
23 August 2017 - 26 August 2017   Leipzig, Germany (Leipzig University)
Call for Papers

ACER invites original high-quality papers: conceptual, empirical as well as theoretical papers are welcome; graduate students are invited to submit their WI thesis showcase; experienced researchers are warmly invited to submit novel or updated versions of their work.<br>
Topics include but are not limited to:<br>
Affective computing and Emotion Recognition in Web Intelligence<br>
Models of emotions, measuring emotions on the Web<br>
Multidimensional emotion recognition<br>
Emotional/affective process mining<br>
Emotions in the crowds, emotions and sentiments in social networks, link prediction<br>
Affective tagging and emotion recognition in Recommender Systems<br>
Emotion recognition across cultural variations, local-culture emotion recognition<br>
Semantic Emotion Recognition, Linked Data in affective spaces, affective ontologies, and sentic computing<br>
Natural Language Processing, Emotion extraction from text<br>
Automated emotion/mood tagging with emoji/memes<br>
Facial/gestures/visual emotion recognition and synthesis, emotion recognition in video streaming<br>
Emotional, affective states associated with music, audio or speech<br>
Recognition of emotions elicited by artistic stimuli e.g. paintings<br>
Affective computing, emotion recognition from Brain Interfaces or sensors e.g. EMG sensors, motion sensors, GPS tracking<br>
Biomimetic modeling of emotions, models of emotionally communicative behavior, evolved or emergent emotional behavior<br>
Emotion recognition in social robots, intelligent interfaces, symbiotic cognitive systems<br>
Affective states or emotions expressed by web-based/cloud robots, web-based Artificial intelligence, affective human-computer interfaces<br>
Online Human-Bot emotional interactions, real-time integrated systems<br>
Novel technologies using emotional elements that can better engage disabled people, e.g. with ASC (Autism Spectrum Conditions), in learning and communication<br>
Assertive robots, assertive artificial intelligence, artificial empathy and emotional intelligence in human-robot interactions<br>
Emotion recognition in business/government intelligence and marketing strategies<br>
Applications using web-based machine learning services e.g. IBM Watson, Google TensorFlow<br>
Specialized interfaces and animation technologies, applications in games and education, e.g. affective tutoring
Ethical challenges on affective computing and emotion recognition in Web Intelligence, e.g. deception in emotions-aware HRI, emotional privacy, side effects and evolution of humanity using affective-intelligent web services<br>
Applicable lessons from other fields (e.g. robotics, AI, psychology)<br>
Submission Guidelines:<br>
ACER solicits original work submitted as a <br>regular paper (limited to 6-8 pages) or short paper (limited to 4 pages) in ACM 2-column format. Each paper will be peer-reviewed by at least two PC members based on technical quality, relevance, originality, significance and clarity. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI. Papers must be submitted according to the ACM/WIC/IEE WI 2017 rules, via the Cyberchair submission page of the ACER workshop.

Deadline:  01 May 2017
Powered by Plone

Portal usage statistics