Call For Papers - Frontiers Research Topic: Affective Shared Perception
I. Aim and Scope
Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction.
Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models.
We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system.
II. Potential Topics
Topics include, but are not limited to:
- Affective perception and learning
- Affective modulation and decision making
- Developmental perspectives of shared perception
- Machine learning for shared perception
- Bio-inspired approaches for affective shared perception
- Affective processing for embodied and cognitive robots
- Multisensory modeling for conflict resolution in shared perception
- New psychological findings on shared perception
- Assistive aspects and applications of shared affective perception
III. Submission
- Abstract - 24 October 2020
- Paper Submission - 21 February 2021
IV. Guest Editors
Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy
Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy
Ginevra Castellano, Uppsala University, Uppsala, Sweden
Yukie Nagai, The University of Tokyo, Bunkyō, Japan
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Dr. Pablo Barros
Postdoctoral Researcher - CONTACT Unit
Istituto Italiano di Tecnologia – Center for Human Technologies
Via Enrico Melen 83, Building B 16152 Genova, Italy
email: pablo.alvesdebarros(a)iit.it
website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p>
twitter: @PBarros_br
Hello everyone,
In the School of Psychology here at the University of Plymouth we currently have three lectureship positions advertised. Two of these posts are for any area of Psychology with one available as a permanent appointment and the other as a fixed-term 3 year position. We also have a lectureship advertised in behavioural or cognitive neuroscience. This latter post is for a fixed term of 4 years.
In addition to behavioural research facilities including a dedicated child development lab (BabyLab) we also have a new Brain Imaging Research Centre (https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-c…) which is due to open next year with MRI, EEG and TMS facilities available. The lecturer in behavioural or cognitive neuroscience in particular is anticipated to be heavily involved in developing research at this new facility although the facilities will be available to all. Links to the adverts are given below.
Lecturer in Psychology (Permanent)
https://www.jobs.ac.uk/job/CCJ667/lecturer-in-psychology
Lecturer in Psychology (3 years fixed term)
https://www.jobs.ac.uk/job/CCJ877/lecturer-in-psychology
Lecturer in Psychology - Behavioural or Cognitive Neuroscience (4 years fixed term)
https://www.jobs.ac.uk/job/CCJ925/lecturer-in-psychology-behavioral-or-cogn…
The deadline for all applications is 12 Midnight, Wednesday 6th January 2021.
Chris
--
Dr Chris Longmore
School of Psychology
Faculty of Health: Medicine, Dentistry and Human Sciences
University of Plymouth
Drake Circus
Plymouth
PL4 8AA
Tel: +44 (0)1752 584890
Fax: +44 (0)1752 584808
Email : chris.longmore(a)plymouth.ac.uk
________________________________
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This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.
Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. One current project of particular interest is using machine learning, computer vision, and statistical techniques to model human face processing and representation, as well as face-based social cognition.
More broadly, Dr. Yu’s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include face processing, attention, active sensing, judgement and decision making, and social cognition.
Applicants should be committed to applying rigorous computational and mathematical tools to understand natural intelligence. Experience or interest in carrying out human behavioral experiments (either in person or on-line) and/or collaborating with neuroimaging/neurophysiology laboratories is desirable. Initial appointment is for one year, renewable for up to 2-3 years.
Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Halıcıoğlu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.
Interested candidates should send a research statement (in particular explaining why you think you would be a good fit for this position in my lab), along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>) with the subject “Postdoc Application” (I may miss your application otherwise). Two or more letters of references should be sent directly by the recommenders to ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>. More information about Dr. Yu’s group can be found at https://www.cogsci.ucsd.edu/~ajyu <https://www.cogsci.ucsd.edu/~ajyu>.
----------------------------------------------
Angela Yu
Associate Professor
Dept. of Cognitive Science
Halıcıoğlu Data Science Institute
UC San Diego
858-822-3317
http://www.cogsci.ucsd.edu/~ajyu
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Dear colleagues,
We are happy to invite proposals for contributions to a forthcoming special issue “Bridging the gap between intergroup and face perception research: Understanding the mechanisms underlying the other-‘race’ effect” for the British Journal of Psychology (see attached pdf for details).
Interested authors should initially submit a proposal (including title, prospective author(s), affiliation(s), abstract with 200 words maximum) to bjop(a)wiley.com<mailto:bjop@wiley.com> no later than 1 March 2021.
We look forward to receiving your proposal.
Best wishes,
Marleen Stelter (marleen.stelter(a)uni-hamburg.de<mailto:marleen.stelter@uni-hamburg.de>)
Stefan Schweinberger (stefan.schweinberger(a)uni-jena.de<mailto:stefan.schweinberger@uni-jena.de>)
--
Dr. Marleen Stelter
Universität Hamburg
Department of Social Psychology
Von-Melle-Park 5 - 20146 Hamburg, Germany
Tel.: +49 (0) 40 42838-5530
UHH Personal <https://www.psy.uni-hamburg.de/arbeitsbereiche/sozialpsychologie/personen/s…> Webpage<https://www.psy.uni-hamburg.de/arbeitsbereiche/sozialpsychologie/personen/s…>
Dear fellow face researchers,
For a project on cross-cultural differences in eyewitness testimony and
identification, my PhD student Gabi de Bruïne and I are looking for
databases of young adult male faces (real, not generated) from amongst
which to select fillers for photo lineups for a black Gambian target and a
white Dutch target. Ideally, we would like to select Gambian fillers and
Dutch fillers, respectively, but I can imagine that would be hard to find.
An alternative option would be to select a range of sub-Saharan African
fillers and a range of Western European fillers, respectively. Does any of
you perhaps know of any databases we could use?
We have already looked at the face databases collected in this Google
document
<https://docs.google.com/spreadsheets/d/1K-Gelc-HBgbwsDKWraCubGVf30uOrnTo3FT…>,
and found some Western European faces (some Dutch, Scottish, Danish) and
some sub-Saharan African faces (South African), but not enough of a range
to make the lineup work, particularly for the African target. Any help or
advice would be much appreciated!
Many thanks,
Annelies
*Dr. Annelies Vredeveldt*
Associate Professor *| *Department of Criminal Law and Criminology *| *Faculty
of Law *| *VU University Amsterdam
+31 20 59 83 153 *| *a.vredeveldt(a)vu.nl *| *www.annelies.vredeveldt.com
<http://annelies.vredeveldt.com/> *|* www.allp.nl
Dear all
There is a face resource that you may find useful in face-perception research. The faces are computer-generated but are photo-realistic. The link to the company is (Generated Photos):
https://generated.photos/
All the images they offer are free with a link for non-commercial purposes.
For the academic community, they have also made a 10K dataset with meta-data freely available for research:
https://generated.photos/datasets
(scroll towards the bottom)
They have a very good support team, who are very responsive to questions.
Thanks,
Quoc.
===========================
Newcastle University
Biosciences Institute & School of Psychology
Dear all,
for a research project, I am looking for databases that include at least
one measure of facial appearance (i.e., face photographs or rating data)
and at least one measure for the current or previous residence of the
person depicted (i.e., city name, city size, GPS data, zip code, level
of urbanization, or greenness of neighbourhood). Do you know of any
database that has data for both variables (facial apearance /and
/residence) available?
I am grateful for all kind of suggestions. Thank you!
Best wishes,
Claudia Menzel
--
Dr. Claudia Menzel
Social, Environmental, & Economic Psychology
University of Koblenz-Landau
Room H-316, Fortstraße 7, 76829 Landau, Germany
(note that I'm in homeoffice now!)
Homepage: www.uni-koblenz-landau.de/de/landau/fb8/psychaus/AGUmwelt/Personen/menzel
Twitter: @LEPsyUnit
Scientist4Future: https://scientists4future-landau.de
Hi,
I'm looking for a set of non-white male faces (black, Asian or East Asian) with each person displaying the traditional six expressions (happiness, anger, fear, disgust, surprise, sadness and a neutral expression). Does anyone have a set that I could use? If so, please contact me. Thanks!
Graham Hole,
University of Sussex.
Email: grahamh(a)sussex.ac.uk
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CALL FOR PAPERS - HBU 2021
11th International Workshop on Human Behavior Understanding (HBU)
Focus theme: Multi-source aspects of behavioral understanding
Held in conjunction with WACV 2021https://lmi.fe.uni-lj.si/hbu2021
Paper submission deadline: November 5th, 2020
Notifications: November 18th, 2020
*********************************************************************
ORGANIZERS
Abhijit Das, Indian Statistical Institute, Kolkata, India
Qiang Ji, Rensselaer Polytechnic Institute, United States
Umapada Pal, Indian Statistical Institute, Kolkata, India
Albert Ali Salah, Utrecht University, The Netherlands
Vitomir Štruc, University of Ljubljana, Slovenia
ABOUT
Domains for human behaviour understanding predominantly (e.g.,
multimedia, human-computer interaction, robotics, affective computing
and social signal processing) rely on advanced pattern recognition
techniques to automatically interpret complex behavioural patterns
generated when humans interact with machines or with other agents. This
is a challenging research area where many issues are still open,
including the joint modelling of behavioural cues taking place at
different time scales, the inherent uncertainty of machine detectable
evidence of human behaviour, the mutual influence of people involved in
interactions, the presence of long term dependencies in observations
extracted from human behaviour, and the important role of dynamics in
human behaviour understanding. Computer vision is a key technology for
analysis and synthesis of human behaviour but stands to gain much from
multi-modality and multi-source processing, in terms of improving
accuracy, resource use, robustness, and contextualization.
This workshop, organized as part of WACV 2021, will gather researchers
dealing with the problem of modelling human behaviour under its multiple
facets (expression of emotions, display of relational attitudes, the
performance of an individual or joint actions, etc.), with particular
attention to multi-source aspects, including multi-sensor,
multi-participant and multi-modal settings. Example challenges are the
additional resource and robustness constraints, explorations in
information fusion, social and contextual aspects of interactions, and
building multi-source representations of social and affective signals
with the goal of advancing the state-of-the-art.
The HBU workshops, previously organized as satellite events to major
conferences in different disciplines such as ICPR’10, AMI’11, IROS’12,
ACMMM’13, ECCV’14, UBICOMP’15, ACMMM’16, FG’18, ECCV’18, ICCV’19 have a
unique aspect of fostering cross-pollination of disciplines, bringing
together researchers from a variety of fields, such as computer vision,
HCI, artificial intelligence, pattern recognition, interaction design,
ambient intelligence, psychology and robotics. The diversity of human
behaviour, the richness of multimodal data that arises from its
analysis, and the multitude of applications that demand rapid progress
in this area ensure that the HBU Workshops provide a timely and relevant
discussion and dissemination platform. For HBU@WACV, we particularly
solicit contributions on human behaviour understanding that combine
multiple sources of information, be it across modalities, sensors, or
subjects under observation. The workshop solicits papers on general
topics related to human behaviour understanding, but with a distinct
focus on multi-source solutions.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
+ Multimodal solutions for human behaviour modelling and analysis
+ Multimodal solutions towards behavioural biometrics (gait,
handwriting, keystroke dynamics, etc.)
+ Methods for multi-instance learning in behavioural understanding,
+ Analysis of multi-participant settings and of social interactions,
+ Multi-instance representation for characterizing human health,
empathy,
+ Deep learning for multi-party interactions
+ Multimodal deep learning for behaviour understanding
+ Adversarial learning approaches
+ Related sensor technologies
+ Information fusions approach for behaviour analysis
+ Realistic behaviour synthesis in multiple modalities and for
multi-party settings
+ Mobile and wearable systems for behaviour monitoring
+ Datasets and benchmarks
+ Related applications
PAPER SUBMISSION
Submission instruction can be found
athttps://lmi.fe.uni-lj.si/hbu2021/paper-submission/
Please feel free to contact for any further details.
Abhijit Das, Qiang Ji, Umapada Pal, Albert Ali Salah, Vitomir Štruc
HBU 2021 Organizers