Face-research-list

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by Leimin Tian

*************************************** ICMI 2020: Call for Long and Short Papers http://icmi.acm.org/2020/index.php?id=cfp 25-29 Oct 2020, Utrecht, The Netherlands *************************************** Call for Long and Short Papers The 22nd International Conference on Multimodal Interaction (ICMI 2020) will be held in Utrecht, the Netherlands. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2020 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2020 will be published by ACM as part of their series of International Conference Proceedings and Digital Library. We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2020 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2020 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children’s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated to a new usage of an existing approach. Please see the Submission Guidelines for Authors https://icmi.acm.org/2020/index.php?id=authors for detailed submission instructions. This year’s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well - the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Important Dates Paper Submission: May 4, 2020 (11:59pm GMT-7) Reviews to authors: July 3, 2020 Rebuttal due: July 10, 2020 (11:59pm GMT-7) Paper notification: July 20, 2020 Camera ready paper: August 17, 2020 Presenting at main conference: October 25-29, 2020 -- Regards, Leimin

6 years

UK researchers - voter registration proposals

by Peter Hancock

This message is probably only of relevance to UK-based researchers, though people from other countries may have relevant comments, depending on how you vote. The UK Government is proposing to introduce a requirement to take photo-id to polling stations in order to vote. Apart from the issue of potentially excluding people who don't currently have such an id (the most disadvantaged in society, mainly) there is the problem that we know that photo id doesn't really work. Can I invite UK-based researchers to contact their MPs to explain the evidence that it is not reliable? If enough of us do, they might have a rethink. Peter My messages may arrive outside of the working day but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient. Peter Hancock Professor of Psychology, Faculty of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 https://www.stir.ac.uk/people/11587 http://orcid.org/0000-0001-6025-7068 http://www.researcherid.com/rid/A-4633-2009 Psychology at Stirling: 100% 4* Impact, REF2014 Latest paper: Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures https://rdcu.be/bNlKn<%20https:/rdcu.be/bNlKn>

6 years, 1 month

Dark Triad faces

by Ferenc Kocsor

Dear Colleagues, We started a cross-cultural research on perception of faces of individuals high or low on the Dark Triad scales. We would be grateful if you shared the link on social media or mailing lists. The English version is available here: http://bit.ly/DTenglish We also have a version in Hebrew. It is extremely difficult for us to collect a sample of appropriate size, so help from colleagues in Israel are especially appreciated. You can share this link: http://bit.ly/DThebrew Thanks in advance *Ferenc Kocsor, PhD* research associate Institute of Psychology <Pszichológia Intézet> | Faculty of Humanites <Bölcsészettudományi Kar> | University of Pécs <https://outlook.office.com/mail/inbox/id/AAQkADkzOGM4ZjhhLTkyZmEtNGUyNC1iYj…> | evolutionpsychology.com <evoluciospszichologia.hu>

6 years, 2 months

Society for Affective Science 2020 Conference!

by Jolie Wormwood

Greetings, I hope this message finds you well! I am writing to you regarding the Society for Affective Science and its annual meeting, which will take place at the Parc 55 Hotel in San Francisco, CA on April 23-25, 2020. As a regular attendee and a member of the membership and outreach committee, I encourage you and your trainees and students to attend! Personally, I and my students have found SAS to be an excellent venue for presenting research, and we find the interdisciplinary nature of the program to be uniquely beneficial. Below, I outline exciting highlights from the upcoming meeting and opportunities for you and your students to submit abstracts for symposia, flash talks or posters. Please let me know if you have any questions. I hope to see you at the 2020 SAS meeting! All the best, Jolie Jolie Baumann Wormwood, PhD Assistant Professor of Psychology 422 McConnell Hall 15 Academic Way Durham, NH 03824 —— *SAS 2020 Registration and Call for Abstracts* *San Francisco, CaliforniaParc 55 HotelApril 23-25, 2020* The Society for Affective Science (SAS) is pleased to announce its call for submissions of abstracts to be considered for its 2020 Annual Conference. The 2020 SAS conference will take place at the Parc 55 Hotel in San Francisco, CA on April 23-25, 2020. *Program Highlights* We’re excited to announce that this year's program includes a Presidential Symposium on affect in politics featuring Morteza Dehghani, Nathan Kalmoe and Robb Willer, TED style talks by Lasana Harris, Dacher Keltner, Kristin Lagattuta, Mathew Nock, and Jamil Zaki, and Invited Flash Talks by James Cavanaugh, Aaron Heller, Lori Hoggard, Jessica Lougheed, Emily Mower Provost, Nilam Ram, Gal Sheppes, and Yukiko Uchida. Presentations will be featured in an interesting array of sessions of varying formats. *Abstract Submission Formats* We welcome abstract submissions that describe new research within the domain of affective science. In line with our goal to facilitate interdisciplinary advances, we welcome submissions from affective scientists in any discipline (e.g., anthropology, business, computer science, cultural studies, economics, education, geography, history, integrative medicine, law, linguistics, literature, neuroscience, philosophy, political science, psychiatry, psychology, public health, sociology, theatre), working on a broad range of topics using a variety of measures. *Authors at all career stages – trainees, junior faculty, and senior faculty – are encouraged to submit an abstract according to three presentation formats as follows:* 1. A *poster* on any topic within the domain of affective science 2. A *flash talk* showcasing affective science research (open to all career stages and disciplines). 3. A *Symposia* providing an in-depth perspective on individual research areas/topics within affective science. *This is a NEW submission format that we are excited to offer for SAS 2020!* *Deadline for Receipt of Abstracts* Abstracts must be submitted by Friday, November 8, 2019 at 11:59 p.m. Baker Island Time (BIT; UTC-12 --- the last timezone before the date line) to be considered for inclusion in the program. Please review the *abstract submission instructions <https://urldefense.proofpoint.com/v2/url?u=https-3A__society-2Dfor-2Daffect…>* carefully. *Selection Process* Abstracts will be evaluated on the basis of scholarly merit by blind peer review. Poster and Flash Talk abstracts with trainees (i.e., postdoctoral fellow, graduate student, post-baccalaureate, undergraduate student) as first author will be considered for an award based on further in-person evaluation at the conference. Awards will be announced at the conference during the closing ceremony. All presenters must register and pay to attend the meeting. Notification of acceptance or rejection of abstracts will be e-mailed to the corresponding author by mid-January 2020. Presenters must be the first author on the submitted abstract. *We hope to see you at SAS 2020 in San Francisco!*

6 years, 2 months

Call For Chapters and dataset release! | Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges by Springer

by Pablo Barros

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>*

6 years, 2 months

Call For Chapters and dataset release! | Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges by Springer

by Pablo Barros

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/

6 years, 3 months

postdoc vacancy, please pass on.

by Peter Hancock

I have a vacancy for a postdoc for 18 months from Jan 2020, working on understanding human face recognition as part of an ESRC-funded project to improve automated recognition. https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2187&jobT… Peter Hancock Professor of Psychology, Faculty of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 https://www.stir.ac.uk/people/11587 http://orcid.org/0000-0001-6025-7068 http://www.researcherid.com/rid/A-4633-2009 Psychology at Stirling: 100% 4* Impact, REF2014 Latest paper: Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures https://rdcu.be/bNlKn<%20https:/rdcu.be/bNlKn>

6 years, 3 months

Facial pareidolia in trees will donate for research

by Ronald Senack

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

6 years, 4 months

FAO: Face, Gesture and/or Body Researchers

by Rachael Jack

**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

6 years, 4 months

CFP Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots

by Pablo Barros

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/

6 years, 4 months

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Face-research-list