<html xml:lang="en"> <head> <meta http-equiv=Content-Type content="text/html; charset=unicode"> <meta name=Generator content="Microsoft Word 15 (filtered)"> <style> <!-- /* Font Definitions */ @font-face {font-family:Wingdings; panose-1:5 0 0 0 0 0 0 0 0 0;} @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @font-face {font-family:"Segoe UI"; panose-1:2 11 5 2 4 2 4 2 2 3;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0cm; margin-bottom:.0001pt; font-size:12.0pt; font-family:"Times New Roman",serif;} h1 {mso-style-link:"Heading 1 Char"; margin-right:0cm; margin-left:0cm; font-size:24.0pt; font-family:"Times New Roman",serif; font-weight:bold;} h3 {mso-style-link:"Heading 3 Char"; margin-right:0cm; margin-left:0cm; font-size:13.5pt; font-family:"Times New Roman",serif; font-weight:bold;} a:link, span.MsoHyperlink {color:blue; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {color:purple; text-decoration:underline;} p {margin-right:0cm; margin-left:0cm; font-size:12.0pt; font-family:"Times New Roman",serif;} p.MsoAcetate, li.MsoAcetate, div.MsoAcetate {mso-style-link:"Balloon Text Char"; margin:0cm; margin-bottom:.0001pt; font-size:9.0pt; font-family:"Segoe UI",sans-serif;} span.Heading1Char {mso-style-name:"Heading 1 Char"; mso-style-link:"Heading 1"; font-family:"Calibri Light",sans-serif; color:#2E74B5;} span.Heading3Char {mso-style-name:"Heading 3 Char"; mso-style-link:"Heading 3"; font-family:"Calibri Light",sans-serif; color:#1F4D78;} span.BalloonTextChar {mso-style-name:"Balloon Text Char"; mso-style-link:"Balloon Text"; font-family:"Segoe UI",sans-serif;} .MsoChpDefault {font-size:10.0pt;} @page WordSection1 {size:595.3pt 841.9pt; margin:72.0pt 72.0pt 72.0pt 72.0pt;} div.WordSection1 {page:WordSection1;} /* List Definitions */ ol {margin-bottom:0cm;} ul {margin-bottom:0cm;} --> </style> </head> <body lang=EN-GB link=blue vlink=purple> <div class=WordSection1> <h1 align=center style='text-align:center'><img width=1250 height=156 id="Picture 2" src="ACTF_files/image001.jpg"></h1> <h1 align=center style='text-align:center'>Affective Computing Task Force</h1> <h3 style='margin-bottom:0cm;margin-bottom:.0001pt'>&nbsp;</h3> <div align=center> <table class=MsoTableGrid border=0 cellspacing=0 cellpadding=0 style='border-collapse:collapse;border:none'> <tr> <td width=376 valign=top style='width:225.4pt;border:none;border-bottom:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt'> <h3 style='margin-bottom:0cm;margin-bottom:.0001pt'>Task Force Chair:</h3> </td> <td width=751 colspan=2 valign=top style='width:450.8pt;border:none; border-bottom:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt'> <h3 align=center style='margin-bottom:0cm;margin-bottom:.0001pt;text-align: center'>Task Force Vice-Chairs:</h3> </td> </tr> <tr> <td width=376 valign=top style='width:225.4pt;border:none;padding:0cm 5.4pt 0cm 5.4pt'> <p style='margin-top:0cm'><b>Faiyaz Doctor</b><br> University of Coventry, UK<br> <a href="mailto:aa9536@coventry.ac.uk">aa9536@coventry.ac.uk</a> <br> <a href="http://www.coventry.ac.uk/research-bank/experts-directory/ec-staff/faiyaz-doctor/">website</a></p> <p><b>&nbsp;</b></p> </td> <td width=376 valign=top style='width:225.4pt;border:none;padding:0cm 5.4pt 0cm 5.4pt'> <p><b>Christian Wagner</b><br> Horizon Digital Economy Institute and Intelligent Modelling &amp; Analysis Group<br> School of Computer Science, <br> University of Nottingham, UK<br> <a href="mailto:Christian.Wagner@nottingham.ac.uk">Christian.Wagner@nottingham.ac.uk</a><br> <a href="http://ima.ac.uk/home/wagner/">website</a></p> </td> <td width=376 valign=top style='width:225.4pt;border:none;padding:0cm 5.4pt 0cm 5.4pt'> <p><b>Dongrui Wu</b><br> Machine Learning Lab, GE Global Research, USA<br> <a href="mailto:drwu09@gmail.com">drwu09@gmail.com</a><br> <a href="https://sites.google.com/site/drwu09/">website</a></p> </td> </tr> </table> </div> <h3 style='margin-top:0cm'>&nbsp;</h3> <h3 align=center style='text-align:center'><span style='font-size:14.0pt'>Task Force Members:</span></h3> <p align=center style='text-align:center'><b><span style='font-size:14.0pt'>Hussein Abbass, </span></b><span style='font-size:14.0pt'>University of New South Wales, Australia<br> <b>Faiyaz Doctor</b>, University of Coventry, UK<b><br> Hani Hagras</b>, University of Essex, UK<br> <b>Kostas Karpouzis</b>, National Technical University of Athens, Greece <br> <b>Annabel Latham</b>, Manchester Metropolitan University, UK<br> <b>Marie-Jeanne Lesot</b>, LIP6-UPMC, France<br> <b>Peter Lewis</b>, University of Birmingham, UK<br> <b>Chin-Teng Lin</b>, National Chiao Tung University, Taiwan<br> <b>Gracian Trivino</b>, European Center for Soft Computing, Spain<br> <b>Christian Wagner</b>, University of Nottingham, UK<br> <b>Dongrui Wu</b>, GE Global Research, USA<br> <b>Georgios Yannakakis</b>, IT University of Copenhagen, Denmark<br> <b>Slawomir Zadrozny</b>, Polish academy of science, Poland</span></p> <p>&nbsp;</p> <h3 style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify'><span style='font-size:18.0pt'>Overview:</span></h3> <p style='margin-top:0cm;text-align:justify'><span style='font-size:14.0pt'>Computational intelligence is a set of Nature-inspired computational methodologies and approaches to address complex real world problems to which traditional methodologies and approaches (first principles, probabilistic, black-box, etc.) are ineffective or infeasible. It includes neural networks, fuzzy logic systems, evolutionary computation, swarm intelligence, chaos theory, etc. </span></p> <p style='text-align:justify'><span style='font-size:14.0pt'>Affective computing 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 human-computer interfaces. 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), cognition (e.g., frustration, boredom) and motivation, as represented by for example speech, facial expressions, physiological signals, and neurocognitive performance. </span></p> <p style='text-align:justify'><span style='font-size:14.0pt'>Affective computing raises many new challenges for signal processing, modeling, and information aggregation. Especially, the body signals used for affect recognition are very noisy and subject-dependent. Computational intelligence (CI) methods, including fuzzy sets and systems, neural networks, and evolutionary algorithms, may be used to build intuitive and robust emotion recognition algorithms. Further, emotions, which are intrinsic to human beings, may also inspire some new CI algorithms, just like human brains inspired neural networks and survival of the fittest in nature inspired evolutionary computation.</span></p> <h3 style='margin:0cm;margin-bottom:.0001pt;text-align:justify'><span style='font-size:18.0pt'>Goals:</span></h3> <p style='margin-top:0cm;text-align:justify'><span style='font-size:14.0pt'>The Affective Computing Task Force aims to promote affective and physiological computing research within the CI research community, especially, to study how computational intelligence algorithm can be used to solve challenging affective computing problems, and how affects (emotions) can inspire new computational intelligence algorithms. We also try to bring together the CIS and the <a href="http://emotion-research.net/">HUMAINE</a> association, which is so far the largest affective computing research community in the world.</span></p> <h3 style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify'><span style='font-size:18.0pt'>Scope:</span></h3> <p style='margin-top:0cm;text-align:justify'><span style='font-size:14.0pt'>The scope of this task force includes, but is not limited to:</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Emotion-inspired computational intelligence algorithms</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Computational models and architecture for processing emotions and other affective states</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Physiological computation, i.e. the capture, analysis and automatic interpretation of physiological information</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Brain Computer Interface derived data analysis and interpretation </span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Automatic emotion recognition &amp; synthesis from physiological signals, facial expressions, body language, speech, or neurocognitive performance</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Emotion mining from texts, images, or videos</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Affective interaction with virtual agents and robots</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Applications of affective computing in interactive learning, affective gaming, personalized robotics, virtual reality, social networking, smart environments, healthcare and behavioural informatics, etc.</span></p> <h3 style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify'><span style='font-size:18.0pt'>Current Activities:</span></h3> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:5.0pt;margin-left:36.0pt; text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt; font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Special Session <b>(pending approval)</b> at 5th Workshop on Brain-Machine Interfaces Systems (BMI 2015) (At SMC 2015), Hong Kong, China, October 10-13<sup>th</sup> 2015</span></p> <p style='margin-left:36.0pt;text-align:justify;text-indent:-18.0pt'><span style='font-size:10.0pt;font-family:Symbol'><span style='font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='font-size:14.0pt'>Special Session on Fuzzy Systems for Physiological and Affective Computing (FSPAC) <b>(pending approval)</b>,<b> </b>2015 International Conference on Fuzzy Systems (Fuzz-IEEE 2015), Istanbul, Turkey, August 2-5<sup>th</sup> 2015 </span></p> </div> </body> </html>