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Emotional Machines: the Next Revolution

Special Issue Details
Recent advances in Artificial Intelligence design, Deep Learning techniques, human-friendly Robotics, Cognitive Sciences, claim for a revision of the whole field of Affective Computing and the approaches to the retain of emotional machines. This special issue is devoted to the critical innovations that will pave the way for the next advances in Affective Computing. With the current implementations of AI and robotic systems in new human environments and tasks, the need for a good understanding of the necessary emotional mechanisms involved in such processes is of the utmost importance. The daily interactions between humans and smarter devices are increasing exponentially, and the emotional attachments and relationships with machines are fundamental for a reliable and successful interaction. Cooperation between humans and machines for a shared action or goal is a desirable outcome.
Call for Papers

Call for Special Issue Emotional Machines: the Next Revolution Web Intelligence an International Journal IOS Press (ISSN 2405-6456)

Recent advances in Artificial Intelligence design, Deep Learning techniques, human-friendly Robotics, Cognitive Sciences, claim for a revision of the whole field of Affective Computing and the approaches to the retain of emotional machines. This special issue is devoted to the critical innovations that will pave the way for the next advances in Affective Computing. With the current implementations of AI and robotic systems in new human environments and tasks, the need for a good understanding of the necessary emotional mechanisms involved in such processes is of the utmost importance. The daily interactions between humans and smarter devices are increasing exponentially, and the emotional attachments and relationships with machines are fundamental for a reliable and successful interaction. Cooperation between humans and machines for a shared action or goal is a desirable outcome.

You are cordially invited to submit research contributions to the Special Issue Emotional Machines: the Next Revolution of Web Intelligence - an International Journal - IOS Press Web Intelligence (ISSN 2405-6456) is indexed in various scientific sources including DBLP, Compendex, Inspec IET, Scopus and Web of Science: Emerging Sources Citation Index.
To submit a paper:
- Access the WIAS on-line submission page for special issues: http://wi-consortium.org/wias/scripts/submit_sissue.php
- Choose 'Emotional Machines: the Next Revolution' to submit the paper

CFP is open: November 2017 (including call for extended version to selected papers from Workshop on Affective Computing and Emotion Recognition ACER@WI2017 and International Workshop on Emotion Recognition EMORE@ICCSA2017) Submission deadline: 31 March 2018 First round notification: 30 April 2018 Revised version due: 31 May 2018 Publication date: 31 October 2018

Topics of interest are related to a multidisciplinary view of Human-Machine interfaces for Affective Computing, and include but are not limited to:
• Affective computing and Emotion Recognition in Web Intelligence
• Models of emotions, measuring emotions on the Web • Multidimensional emotion recognition
• Emotional/affective process mining
• Emotions in the crowds, emotions and sentiments in social networks, link prediction
• Affective tagging and emotion recognition in Recommender Systems
• Emotion recognition across cultural variations, local-culture emotion recognition
• Semantic Emotion Recognition, Linked Data in affective spaces, affective ontologies, and sentic computing
• Natural Language Processing, Emotion extraction from text
• Automated emotion/mood tagging with emoji/memes
• Facial/gestures/visual emotion recognition and synthesis, emotion recognition in video streaming
• Emotional, affective states associated with music, audio or speech
• Recognition of emotions elicited by artistic stimuli, e.g. paintings
• Affective computing, emotion recognition from Brain Interfaces or sensors, e.g. EMG sensors,
motion sensors, GPS tracking
• Biomimetic modelling of emotions, models of emotionally communicative behaviour, evolved or emergent emotional behaviour
• Emotion recognition in social robots, intelligent interfaces, symbiotic cognitive systems
• Affective states or emotions expressed by web-based/cloud robots, web-based Artificial intelligence, affective human-computer interfaces
• Online Human-Bot emotional interactions, real-time integrated systems
• Novel technologies using emotional elements that can better engage disabled people, e.g. with ASC (Autism Spectrum Conditions), in learning and communication
• Assertive robots, assertive artificial intelligence, artificial empathy and emotional intelligence in human-robot interactions
• Emotion recognition in business/government intelligence and marketing strategies
• Applications using web-based machine learning services, e.g. IBM Watson, Google TensorFlow
• 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
• Applicable lessons from other fields (e.g. robotics, AI, psychology)

Guest Editors:

- Valentina Franzoni, Sapienza University of Rome, Italy (franzoni@dis.uniroma1.it)
- Alfredo Milani, University of Perugia, Italy
- Daniele Nardi, Sapienza University of Rome, Italy
- Jordi Vallverdú, Universitat Autonoma de Barcelona, Spain

Reference Editor in WIAS is Prof. Jiming Liu, Hong Kong Baptist University, Hong Kong

Deadline:  31 March 2018
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