Dear Colleagues,
We would like to invite you to contribute a chapter for the upcoming volume
entitled “Neural and Machine Learning for Emotion and Empathy Recognition:
Experiences from the OMG-Challenges” to be published by the Springer Series
on Competitions in Machine Learning. Our book will be available by mid-2020.
Website: https://easychair.org/cfp/OMGBook2019
Follows a short description of our volume:
Emotional expression perception and categorization are extremely popular in
the affective computing community. However, the inclusion of emotions in
the decision-making process of an agent is not considered in most of the
research in this field. To treat emotion expressions as the final goal,
although necessary, reduces the usability of such solutions in more complex
scenarios. To create a general affective model to be used as a modulator
for learning different cognitive tasks, such as modeling intrinsic
motivation, creativity, dialog processing, grounded learning, and
human-level communication, instantaneous emotion perception cannot be the
pivotal focus.
This book aims to present recent contributions for multimodal emotion
recognition and empathy prediction which take into consideration the
long-term development of affective concepts. In this regard, we provide
access to two datasets: OMG-Emotion Behavior Recognition and OMG-Empathy
Prediction datasets. These datasets were designed, collected and formalized
to be used on the OMG-Emotion Recognition Challenge and the OMG-Empathy
Prediction challenge, respectively. All the participants of our challenges
are invited to submit their contribution to our book. We also invite
interested authors to use our datasets on the development of inspiring and
innovative research on affective computing. By formatting these solutions
and editing this book, we hope to inspire further research in affective and
cognitive computing over longer timescales.
TOPICS OF INTEREST
The topics of interest for this call for chapters include, but are not
limited to:
- New theories and findings on continuous emotion recognition
- Multi- and Cross-modal emotion perception and interpretation
- Novel neural network models for affective processing
- Lifelong affect analysis, perception, and interpretation
- New neuroscientific and psychological findings on continuous emotion
representation
- Embodied artificial agents for empathy and emotion appraisal
- Machine learning for affect-driven interventions
- Socially intelligent human-robot interaction
- Personalized systems for human affect recognition
- New theories and findings on empathy modeling
- Multimodal processing of empathetic and social signals
- Novel neural network models for empathy understanding
- Lifelong models for empathetic interactions
- Empathetic Human-Robot-Interaction Scenarios
- New neuroscientific and psychological findings on empathy representation
- Multi-agent communication for empathetic interactions
- Empathy as a decision-making modulator
- Personalized systems for empathy prediction
Each contributed chapter is expected to present a novel research study, a
comparative study, or a survey of the literature.
SUBMISSIONS
All submissions should be done via EasyChair:
https://easychair.org/cfp/OMGBook2019
Original artwork and a signed copyright release form will be required for
all accepted chapters. For author instructions, please visit:
https://www.springer.com/us/authors-editors/book
-authors-editors/resources-guidelines/book-manuscript-guidelines
We would also like to announce that our two datasets, related to emotion
expressions and empathy prediction, are now fully available. You can have
access to them and obtain more information by visiting their website:
- OMG-EMOTION -
https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_emotion.html
- OMG-EMPATHY -
https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_empathy.html
If you want more information, please do not hesitate to contact me:
barros(a)informatik.uni-hamburg.de
IMPORTANT DATES:
- Submissions of full-length chapters: 31st of October 2019 (message us if
you need more time!)
--
--
Best regards,
*Pablo Barros*
*http://www.pablobarros.net <http://www.pablobarros.net>*
Dear Colleagues,
We would like to invite you to contribute a chapter for the upcoming volume
entitled “Neural and Machine Learning for Emotion and Empathy Recognition:
Experiences from the OMG-Challenges” to be published by the Springer Series
on Competitions in Machine Learning. Our book will be available by mid-2020.
Website: https://easychair.org/cfp/OMGBook2019
Follows a short description of our volume:
Emotional expression perception and categorization are extremely popular in
the affective computing community. However, the inclusion of emotions in
the decision-making process of an agent is not considered in most of the
research in this field. To treat emotion expressions as the final goal,
although necessary, reduces the usability of such solutions in more complex
scenarios. To create a general affective model to be used as a modulator
for learning different cognitive tasks, such as modeling intrinsic
motivation, creativity, dialog processing, grounded learning, and
human-level communication, instantaneous emotion perception cannot be the
pivotal focus.
This book aims to present recent contributions for multimodal emotion
recognition and empathy prediction which take into consideration the
long-term development of affective concepts. On this regard, we provide
access to two datasets: the OMG-Emotion Behavior Recognition and OMG-Empathy
Prediction datasets. These datasets were designed, collected and formalized
to be used on the OMG-Emotion Recognition Challenge and the OMG-Empathy
Prediction challenge, respectively. All the participants of our challenges
are invited to submit their contribution to our book. We also invite
interested authors to use our datasets on the development of inspiring and
innovative research on affective computing. By formatting these solutions
and editing this book, we hope to inspire further research in affective and
cognitive computing over longer timescales.
TOPICS OF INTEREST
The topics of interest for this call for chapters include, but are not
limited to:
- New theories and findings on continuous emotion recognition
- Multi- and Cross-modal emotion perception and interpretation
- Novel neural network models for affective processing
- Lifelong affect analysis, perception, and interpretation
- New neuroscientific and psychological findings on continuous emotion
representation
- Embodied artificial agents for empathy and emotion appraisal
- Machine learning for affect-driven interventions
- Socially intelligent human-robot interaction
- Personalized systems for human affect recognition
- New theories and findings on empathy modeling
- Multimodal processing of empathetic and social signals
- Novel neural network models for empathy understanding
- Lifelong models for empathetic interactions
- Empathetic Human-Robot-Interaction Scenarios
- New neuroscientific and psychological findings on empathy representation
- Multi-agent communication for empathetic interactions
- Empathy as a decision-making modulator
- Personalized systems for empathy prediction
Each contributed chapter is expected to present a novel research study, a
comparative study, or a survey of the literature.
SUBMISSIONS
All submissions should be done via EasyChair:
https://easychair.org/cfp/OMGBook2019
Original artwork and a signed copyright release form will be required for
all accepted chapters. For author instructions, please visit:
https://www.springer.com/us/authors-editors/book
-authors-editors/resources-guidelines/book-manuscript-guidelines
We would also like to announce that our two datasets, related to emotion
expressions and empathy prediction, are now fully available. You can have
access to them and obtain more information by visiting their website:
- OMG-EMOTION -
https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_emotion.html
- OMG-EMPATHY -
https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_empathy.html
If you want more information, please do not hesitate to contact me:
barros(a)informatik.uni-hamburg.de
IMPORTANT DATES:
- Submissions of full-length chapters: 31st of October 2019
--
Dr. Pablo Barros
Postdoctoral Research Associate - Crossmodal Learning Project (CML)
Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Phone: +49 40 42883 2535
Fax: +49 40 42883 2515
barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/
I have 10 different face images they are natural nothing has been added or altered. If you would like to use them for research please contact me at ronas(a)live.ca Would love to hear your thoughts!
Ron
Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10
**FAO: Face, Gesture and/or Body Researchers, Psychologists & Neuroscientists**
Do you research recognition of the face, gesture and/or body? Could your work push the boundaries of Automatic Face and Gesture Recognition?
We at the International Conference on Automatic Face and Gesture Recognition (FG) https://fg2020.org/ would like to invite face, gesture and/or body researchers from Psychology/Neuroscience (or related fields) to join our community and advance understanding of face and gesture recognition by contributing their work.
To specifically showcase these new perspectives and opportunities for the FG community, FG2020 (Buenos Aires, Argentina, 18-22 May 2020), will host a select series of Special Sessions that will highlight emerging new fields, novel challenges, and interdisciplinary approaches.
If you are a face, gesture and/or body researchers from Psychology/Neuroscience, we strongly encourage you to submit a proposal for a Special Session. Topics can be from the broad areas of face and gesture recognition, modeling, and analysis, and their applications.
SUBMISSION DETAILS: https://fg2020.org/special-sessions/
Regards,
Rachael Jack (U Glasgow, UK) & Ehsan Hoque (U Rochester, USA)
FG2020 Special Session Chairs
Call For Papers - Frontiers Research Topic:
Closing the Loop: From Human Behavior to Multisensory Robots
I. Aim and Scope
The ability to efficiently process crossmodal information is a key feature
of the human brain that provides a robust perceptual experience and
behavioral responses. Consequently, the processing and integration of
multisensory information streams such as vision, audio, haptics, and
proprioception play a crucial role in the development of autonomous agents
and cognitive robots, yielding an efficient interaction with the
environment also under conditions of sensory uncertainty.
This Research Topic invites authors to submit new findings, theories,
systems, and trends in multisensory learning for intelligent agents and
robots with the aim to foster the development of novel and impactful
research which will contribute to the understanding of human behavior and
the development of artificial systems operating in real-world environments.
II. Potential Topics
Topics include, but are not limited to:
- New methods and applications for crossmodal processing and multisensory
integration (e.g. vision, audio, haptics, proprioception)
- Machine learning and neural networks for multisensory robot perception
- Computational models of crossmodal attention and perception
- Bio-inspired approaches for crossmodal learning
- Multisensory conflict resolution and executive control
- Sensorimotor learning for autonomous agents and robots
- Crossmodal learning for embodied and cognitive robots
III. Submission
- Abstract - 28th August 2019
- Paper Submission - 02nd December 2019
We have special discounts for open access papers participating in this
research topic. If you have any further question, please let us know.
More information:
https://www.frontiersin.org/research-topics/9321/closing-the-loop-from-huma…
IV. Guest Editors
Pablo Barros, University of Hamburg, Germany
Doreen Jirak, Hamburg University, Germany
German I. Parisi, Apprente, Inc., USA
Jun Tani, Okinawa Institute of Science and Technology, Japan
--
Dr. Pablo Barros
Postdoctoral Research Associate - Crossmodal Learning Project (CML)
Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Phone: +49 40 42883 2535
Fax: +49 40 42883 2515
barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/
*Postdoctoral position in object and face recognition at NYU Abu Dhabi*
A postdoctoral research position is open at the Objects and Knowledge
Laboratory, headed by Dr. Olivia Cheung, at New York University Abu Dhabi (
http://www.oliviacheunglab.org/). The postdoctoral researcher will carry
out behavioral and fMRI experiments on human object, face, letter, and/or
scene recognition. Potential research projects include, but are not limited
to, investigations of the influences of experience and conceptual knowledge
on recognition processes.
Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience, or a
related field, and should possess strong programming skills (e.g., Matlab).
Prior experience with neuroimaging and psychophysical techniques is highly
preferred. Initial appointment is for up to two years. Starting date is
flexible, preferably between August/September 2019.
The Objects and Knowledge Laboratory is part of the rapidly growing
Psychology division at New York University Abu Dhabi. The lab is located in
the campus on Saadiyat Island (Abu Dhabi’s cultural hub), and has access to
the state-of-the-art neuroimaging and behavioral facilities (including MRI,
MEG, eyetracking).
Apart from a generous salary, the postdoctoral researcher will receive
housing and other benefits. More information about living in Abu Dhabi can
be found here:
http://nyuad.nyu.edu/en/campus-life/residential-education-and-housing/livin…
New York University has established itself as a Global Network University,
a multi-site, organically connected network encompassing key global cities
and idea capitals. The network has three foundational degree-granting
campuses: New York, Abu Dhabi, and Shanghai, complimented by a network of
eleven research and study-away sites across five continents. Faculty and
students circulate within this global network in pursuit of common research
interests and the promotion of cross-cultural and interdisciplinary
solutions for problems both local and global.
Informal inquiries regarding the position, university, or area, are
encouraged. To apply, individuals should email a curriculum vita, a brief
statement of research interests, the expected date of availability, and
contact information of two referees. All correspondence should be sent to
Olivia Cheung (olivia.cheung(a)nyu.edu).
**Olivia Cheung is at the Vision Sciences Society (VSS) conference this
week and will be happy to meet with any individuals who are interested in
learning more about the position.**
Dear all,
Applications are invited for a PhD studentship at Keele University on
person perception in the context of crowd events with Dr Sarah Laurence, Dr
Sara Spotorno and Professor Clifford Stott.
More information about the project, funding information, and how to apply
can be found here: https://www.jobs.ac.uk/job/BSD748/phd-studentships
I'd be extremely grateful if you could forward the details of this project
to any students who you think might be interested.
Best wishes,
Sarah
--
Dr Sarah Laurence
Lecturer
School of Psychology
Dorothy Hodgkin Building 1.77
Keele University
Keele, ST5 5BG
Tel: 01782 734246
Email: s.k.laurence(a)keele.ac.uk
Apologies for cross-posting
***************************************************************************************************
ICMI 2019: Deadline extension for final submissions to May 13, 2019 at 11:59 PM PDT
https://icmi.acm.org/2019/index.php?id=cfp
***************************************************************************************************
Best regrads,
Zakia Hammal
ICMI 2019 Publicity Cahir
Zakia Hammal, PhD
The Robotics Institute, Carnegie Mellon University
http://www.ri.cmu.edu/http://ri.cmu.edu/personal-pages/ZakiaHammal/