- We will have special sessions on Empathic Computing in the main track of PRICAI 2012.
- Information about the invited talk and speaker is now available.
- IWEC 2012 Program is now available.
- Paper submission deadline has been moved to July 15, 2012
- IWEC2012 website is up!
Technology has matured sufficiently to tackle problems providing emotional and social intelligence to computing systems. Right now, there is a need for human-centered systems, i.e. systems that are seamlessly integrated into everyday life, easy to use, multimodal, and anticipatory. These systems widen the breadth of users of computing systems, from the very young to the elderly, as well as to the physically challenged. Empathic systems are human-centered systems.
Empathic computing systems are software or physical context-aware computing systems capable of building user models and provide richer, naturalistic, system-initiated empathic responses with the objective of providing intelligent assistance and support. We view empathy as a cognitive act that involves the perception of the user's thought, affect (i.e., emotional feeling or mood), intention or goal, activity, and/or situation and a response due to this perception that is supportive of the user. An empathic computing system is ambient intelligent, i.e., it consists of seamlessly integrated ubiquitous networked sensors, microprocessors and software for it to perceive the various user behavioral patterns from multimodal inputs.
Empathic computing systems may be applied to various areas such as e-health, geriatric domestic support, empathic home/space, productivity systems, entertainment and e-learning. Lastly, this approach shall draw upon the expertise in, and theories of, ubiquitous sensor-rich computing, embedded systems, affective computing, user adaptive interfaces, image processing, digital signal processing and machine learning in artificial intelligence.
On its third year, IWEC focuses on the ambient intelligent, socio-affective context of empathic computing. Empathic systems are relevant essentially because of their capability to infer not only user behavioral states, but also about the context in which the user is involved. Appropriate responses are heavily influenced by the context of its occurrence.
- Emotion and mood recognition
- Intention Recognition
- Behavior/Activity Recognition
- Motion/Gesture Detection
- Multimodal Communication
- Sensor Networks for Human Tracking
- Social Signal Processing
- Wearable or Implantable Sensor Integration
- Sensor Networks for Intelligent Interfaces
- Data fusion in Intelligent Ambient Spaces
- Multimodal Approaches for Improved Decision-making
- Motivational Aids in Intelligent Education Systems
- Advanced Home Automation Systems
- e-Health and Geriatrics Care
- Social Agents
- Machine Learning and Data mining for Empathy
The Institute of Scientific and Industrial Research
Osaka University
8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
+81 6 6879 8426
numao(at)sanken.osaka-u.ac.jp
Center for Empathic Human-Computer Interactions
De La Salle University
Room G402 Gokongwei Building, 2401 Taft Avenue, 1004, Manila Philippines
+63 2 524 4611 local 342
merlin.suarez(at)delasalle.ph
Human Media Interaction
Computer Science
University of Twente, Holland
Department of Intelligence Science and Technology
Graduate School of Informatics
Kyoto University, Japan
Centre National de la Recherche Scientifique
CNRS - Telecom Paris Tech, France
Masayuki Numao, Osaka University (Japan)
Ma. Mercedes Rodrigo, Ateneo de Manila University (Philippines)
Merlin Teodosia Suarez, De La Salle University (Philippines)
Judith Azcarraga, De La Salle University (Philippines)
Elisabetta Bevacqua, Lab-STICC, CERV - ENIB (France)
Rafael Cabredo, Osaka University (Japan)
Jocelynn Cu, De La Salle University (Philippines)
Iwan Dekok, University of Twente (Netherlands)
Masashi Inoue, Yamagata University (Japan)
Paul Salvador Inventado, Osaka University (Japan)
Akihiro Kashihara, Univ. of Electro-Communications (Japan)
Satoshi Kurihara, Osaka University (Japan)
Roberto Legaspi, Osaka University (Japan)
Radoslaw Niewiadomski, Telecom Paris Tech (France)
Magalie Ochs, Telecom Paris Tech (France)
Isao Ono, Tokyo Institute of Technology (Japan)
Noriko Otani, Tokyo City University (Japan)
Dennis Reidsma, University of Twente (Netherlands)
Bui The Duy, Vietnam National University, Hanoi (Vietnam)
Paper Submission Deadline: | |
Paper Acceptance Notification: | August 7, 2012 |
Camera-ready paper: | August 14, 2012 |
3rdInternational Workshop on Empathic Computing: | September 3-4, 2012 |
All papers should be submitted electronically using the EasyChair conference management tool in PDF format and formatted using Springer's manuscript submission guideline. Submitted papers should not exceed 12 pages. Submitted papers should not be under review or submitted for publication elsewhere during the review period.
Selected papers from IWEC-2012 will be published (as post-workshop proceeding) by Springer in the Communications in Computer and Information Science (CCIS) Series. Working notes of the workshops (including papers to be eventually published in the joint workshop volume) will be locally printed for distribution on the workshop day.
Back to topTime | Presentation |
8:00-10:00 | Registration |
10:00-10:30 | Tea Break |
10:30-11:00 | Opening Ceremony |
11:00-11:30 | Modeling Affect and Intentions in Unsupervised Learning Environments |
Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo and Masayuki Numao Osaka University, Japan |
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11:30-12:00 | Modeling the Affective States of Students Using an Intelligent Tutoring System for Algebra |
Thor Collin S. Andallaza, Ma. Mercedes T. Rodrigo, Maria Carminda V. Lagud, Rina Joy M. Jimenez and Jessica O. Sugay Ateneo de Manila University, Philippines |
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12:00-12:30 | Social Interaction Behavior Improvement System |
Khalil Ben Mohamed, Farouq H. Hamed, Tan Sieow Yeek and Dickson Lukose Mimos Berhad, Malaysia |
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12:30-14:00 | Lunch |
14:00-14:30 | Performance Comparison of Single Channel Speech Enhancement Algorithms for Command Recognition in Ambient Intelligence Systems |
Thanh Tien Bui and The Duy Bui Vietnam National University, Hanoi |
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14:30-15:00 | Online learning for activity recognition |
Cuong Ta Viet and Duy Bui The Vietnam National University, Hanoi |
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15:00-15:30 | A New Approach to Emotional Intelligence Dialog Based Planning |
Heba Elbeh and Susanne Biundo Ulm University, Germany |
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15:30-16:00 | Markerless Gesture Recognition in the Context of Affect Modeling for Intelligent Tutoring Systems |
Dana May Bustos, Geoffrey Loren Chua, Richard Thomas Cruz, Jose Miguel Santos and Merlin Teodosia Suarez De La Salle University Manila, Philippines |
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16:00-16:30 | Tea Break |
16:30-17:00 | Using Sitting Postures to Infer User's Learning and Non-learning States |
Anh Mai, Roberto Legaspi, Paul Inventado, Rafael Cabredo, Satoshi Kurihara and Masayuki Numao Osaka University, Japan |
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17:00-17:30 | Real-time Action Recognition based on Infinite Impulse Response filter and Local Binary Pattern |
Minh Duc Nguyen, The Duy Bui, Thi Hong Nhan Vu and Thi Nhat Thanh Nguyen Vietnam National University, Hanoi |
Time | Presentation |
8:00-10:00 | Registration |
10:00-10:30 | Tea Break |
10:30-11:30 | Keynote - Application of Functional Neuroimaging on AI Studies: An fMRI Experimental Design |
Motoaki Sugiura Tohoku University, Japan |
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11:30-12:00 | Adaptive Music Provision for Computer Users Performing Leisurely and Academic Activities |
Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo, Gemilene Uy, Rhia Trogo, Roberto Legaspi and Merlin Teodosia Suarez De La Salle University, Manila |
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12:00-14:00 | Lunch Break |
14:00-14:30 | Estimating Emotions on Music Based on Brainwave Analyses |
Yu Yamano, Rafael Cabredo, Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-Ichi Fukui, Satoshi Kurihara and Masayuki Numao Osaka University, Japan |
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14:30-15:00 | EEG-Based Music Emotion Recognition using Regression Analysis |
Rafael Cabredo, Roberto Legaspi, Paul Salvador Inventado and Masayuki Numao Osaka University, Japan |
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15:00-16:00 | Panel Discussion |
16:00-16:30 | Tea Break |
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Application of functional neuroimaging on AI studies: an fMRI experimental design Prof. Motoaki Sugiura Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan |
Background
Motoaki Sugiura is an associate professor at the Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. He specializes in functional neuroimaging on human higher cognition, particularly the process underlying the recognition of self and familiar others, autobiographical memory, and decision making in real life. He is also interested in developing these findings for psychology, sociology, and engineering. After graduating from the Tohoku University Graduate School of Medicine in 2000 with an MD and PhD, he filled either research or faculty positions at Tohoku University, Juelich Research Center (Germany), Miyagi University of Education, and the National Institute for Physiological Sciences until 2008. He has published more than 80 papers and was awarded the Commendation for Science and Technology's Young Scientists' Prize by the Minister of Education, Culture, Sports, Science and Technology in 2010. Presentation Abstract
Successful application of a functional neuroimaging experiment on AI studies usually requires sufficient consideration of the following two issues. First, a clear research goal or purpose should be set before designing the experiment. It is important to dissociate the following three major research directions: i) technical development of decoding mind from brain activity, ii) using brain activity as an index that is difficult to measure behaviorally, and iii) exploration of the cognitive processes underlying perception and behavior. Second, control conditions should be carefully prepared paying attention to the complexity and automaticity of human cognitive processes. Cognitive tasks are executed by the operation of multiple processes in hierarchical and parallel organization and stimuli may induce unexpected responses, such as those related to affective or social significance, or prediction error. Collaboration with experts of cognitive neuroimaging is recommended. |
We will have special sessions on Empathic Computing in the main track of PRICAI 2012. Back to top