Connectionists: CFP: special session on Intelligent Physiological and Affect Aware System at WCCI (Rio de Janeiro, 8-13 July 2018)

[Ariel Ruiz-Garcia]

[Apologies if you receive multiple copies of this CFP]



Call for Papers:



Hybrid Special Session on Intelligent Physiological and Affect Aware Systems (IPAAS)

https://www.wcci-ipaas.com/



IEEE World Congress on Computational Intelligence (WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil -  http://www.ecomp.poli.br/~wcci2018/



Aim and Scope:

Affective Computing (AC) is “computing that relates to, arises from, or deliberately influences emotions,” as initially coined by Professor R. Picard (Media Lab, MIT). It has been gaining popularity rapidly in the last decade because it has great potential in the next generation of automated human-computer interfaces and applications using behavior analytics. One goal of affective computing is to design a computer system that responds in a rational and strategic fashion to real-time changes in user affect (e.g., happiness, sadness, etc), cognition (e.g., frustration, boredom, etc.) and motivation, as represented by speech, facial expressions, gestures, physiological signals, neurocognitive performance, etc. Physiological Computing (PC) relates to computation that incorporates physiological signals in order to produce useful outputs (e.g., in computer-human interaction). It mainly differs from AC in the sense that its foremost focus is not the modeling of affect but rather the utilization of physiological information generally.



Practical applications of AC and PC based systems seek to achieve a positive impact on our everyday lives by monitoring, recognising and acting on our emotional states and physiological signals. Integrating these sensing modalities into scalable human data analytics and pervasive computing systems will reveal a far richer picture of how our fleeting emotional responses, changing moods, feelings and sensations, such as pain, touch, tastes and smells, are a reaction to or influence how we implicitly or explicitly interact with the environment and increasingly the connected computing artifacts within. The increasing use of unobtrusive wearable sensors, self-monitoring devices and developments in micro- and nanofabrication of implantable devices can be used to track a variety of physiological indicators (e.g. blood pressure, blood gas, pulse, insulin level, EKG, EEG), the interpretation of affective states and behavior contextualization in combination of wider pervasive sensing.



The integration and use of AC and PC raise many new challenges for signal processing, machine learning and Computational Intelligence (CI). Fuzzy Logic Systems in particular provide a highly promising avenue for addressing some of the fundamental research challenges in AC/PC where most data sources such as: body signals (e.g., heart rate, brain waves, skin conductance and respiration) facial features, speech and human kinematics are very noisy/uncertain and subject-dependent. Similarly, the recent success of deep neural network models on classification problems make them a viable path for the development of human-computer interfaces. Clearly however, other key areas of CI research, such as evolutionary learning algorithms and emerging biologically inspired models provide essential tools for behavior discovery and optimization of complex real-word systems and processes using affective and physiological data.



The Intelligent Physiological and Affect Aware (IPAAS https://www.wcci-ipaas.com/) special session aims to bring together researchers from the three areas of CI to discuss how CI techniques can be used individually or in combination to help solve challenging AC/PC problems, and conversely, how physiological and affect (emotion) and its modeling can inspire new approaches in CI and its applications. Topics of interest for this special session include but are not limited to:



·         Models of emotion and physiological information

·         Classifiers for physiological information

·         Applications based on/around physiological information

·         Affect acquisition and processing mobile and unconstraint environments

·         CI based architectures for processing emotions and other affective states

·         Automatic and real-time emotion recognition & synthesis from physiological signals, facial expressions, body language, speech, or neurocognitive performance

·         Emotion mining from texts, images, or videos

·         Affective interaction with virtual agents and robots

·         Socio-emotional and behaviour economics

·         Psychosocial and Psychoanalytics

·         Affect aware organisational and operational modelling

·         Social sensing and context aware environments

·         Sentimental analysis from multi-modal data (audio, video, text, ambient sensing, EEG)

·         Emotional internet of things

·         Social and emphatically aware robotics

·         Applications of affective computing in interactive learning, affective gaming, personalized robotics, virtual reality, social networking, pervasive environments, healthcare and behavioral informatics, etc.



Accepted and presented papers will be published under IJCNN 2018 proceedings. However, as a cross-disciplinary and CI applications oriented special session, cross-disciplinary work involving Fuzzy and Evolutionary learning is strongly encouraged. For paper guidelines please visit www.ecomp.poli.br/~wcci2018/submissions/#guidelines<http://www.ecomp.poli.br/~wcci2018/submissions/#guidelines> and for submissions please visit http://ieee-cis.org/conferences/ijcnn2018/upload.php and select "CDSS-09. Special Session on Intelligent Physiological and Affect Aware (IPAAS)" as the main research topic.



Important Dates



15th January 2018 – Paper Submission

15th March 2018 – Paper Acceptance

1st May 2018 – Final Paper Submission

1st May 2018 – Early Registration

8-13 July 2018 – IEEE WCCI 2018, Rio de Janeiro, Brazil



Organisers



Dr Faiyaz Doctor

School of Computer Science and Electronic Engineering

University of Essex

Email: fdocto AT essex.ac.uk



Dr Dongrui Wu

School of Automation

Huazhong University of Science and Technology, Wuhan, China

Email: drwu AT hust.edu.cn



Dr Marie-Jeanne Lesot

Université Pierre et Marie Curie

Laboratoire d'Informatique de Paris 6, LIP6

Email: Marie-Jeanne.Lesot AT lip6.fr



Ariel Ruiz-Garcia

School of Computing, Electronics and Mathematics

Faculty of Engineering, Environment and Computing

Coventry University

Email: ariel.ruiz-garcia AT coventry.ac.uk







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