CFP Frontiers Research Topic: Affective Shared Perception
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@iit.it website: https://www.pablobarros.nethttp://www.pablobarros.nethttps://www.p twitter: @PBarros_br
Extended Deadline: 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 a shared perception - Assistive aspects and applications of shared affective perception
III. Submission
- Paper Submission - 23 March 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@iit.it website: https://www.pablobarros.nethttp://www.pablobarros.nethttps://www.p twitter: @PBarros_br
Call For Papers - The Workshop on Competitive and Cooperative Social Interactions @ IJCAI2021
I. Aim and Scope
In this workshop, we put together the top-tier researchers on machine learning, in particular social signal processing, and human-robot interaction to discuss, understand and propose possible solutions for our overall topic “Competition and Cooperation: How to integrate machine learning and human-robot interaction in meaningful applications?”. Our intention is to leverage an enriching discussion of the existing problems on competitive and cooperative interactions on the multidisciplinary view of our contributors, and not to present individual solutions for each of the related topics. Our invited speakers, all experts in their respective areas, will discuss the open problems involving social agents' interactions within their specialty. We also invite the submissions of position papers that present a critical view on this topic to complement and widen our discussions.
More information: https://www.whisperproject.eu/compcoop
II. Potential Topics
Topics of interest include, but are not limited to:
- Supervised, Unsupervised, and Self-supervised models for social signal processing. - Reinforcement Learning for Multi-agent interaction. - Representation Learning and Decision Making applied for - Competitive and/or Cooperative Scenarios. - Human-Robot interactions in Real-world Competitive and/or Cooperative scenarios. - Ethical aspects of artificial agents and social interactions. - Affective Computing Models and Applications for Multi-Agent Interactions. - Cognitive Models for Social Interaction. - Lifelong and Continual Learning for Interactions with Humans. - Learning with Humans in the Loop. - Developmental Learning for Social Signal Processing. - Explainable Social Agents. - Social Impact of novel Developments on Artificial Agents and Social Interactions. - Cognitive models for Social Interaction.
III. Submission
The workshop holds a public call for short (up to 4 pages) and long papers (up to 8 pages) that address any of the related topics. We encourage the participants to submit not only contribution papers but also position arguments about the current problems involving any of the related topics. The authors should follow the IJCAI paper template.
- Paper submission deadline: May 4, 2021
- Decisions: May 18, 2021
- Camera-ready papers due: June 14, 2020
Submission website: https://cmt3.research.microsoft.com/CompCoop2021
IV. Organizers
Pablo Barros, Italian Institute of Technology (IIT), Italy Doreen Jirak, Italian Institute of Technology (IIT), Italy Francisco Cruz, School of IT, Deakin University, Australia German I. Parisi, McD Tech Labs, USA
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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@iit.it website: https://www.pablobarros.nethttp://www.pablobarros.nethttps://www.p twitter: @PBarros_br
Call For Participation - The Chef's Hat Cup @ IJCAI2021
I. Aim and Scope
Most of the current Reinforcement-Learning solutions, although having real-world-inspired scenarios, focus on a direct space-action-reward mapping between the agent's actions and the environment’s state. That translates to agents that can adapt to dynamic scenarios, but, when applied to competitive and/or cooperative cases, fail to assess and deal with the impact of their opponents. In most cases, when these agents choose an action, they do not take into consideration how other agents can affect the state of the scenario. In competitive scenarios, the agents have to learn decisions that a) maximize their chances of winning the game, and b) minimize their adversaries' goals, while in cooperative scenarios b) is inverted. Besides dealing with complex scenarios, such solutions would have to deal with the dynamics between the agents themselves. In this regard, social reinforcement learning is still behind the mainstream applications and demonstrations of the last years.
We introduce here the Chef's Hat Cup, a competition that aims at the development of the most challenging artificial players!
The competition is separated into two tracks: a competitive and a cooperative scenario. In the first track, the participants will use the already available simulation environment to develop the most effective agents to play the Chef’s Hat card game and be the winner. In the second track, they will have to develop an agent that can increase the chances of a dummy agent winning the game.
More information: https://www.whisperproject.eu/chefshat#competition
II. Deadlines
Starting Date: April 20, 2021
Final submission: June 15, 2021
Winners Announcement: July 06, 2021
III. Team Registration
Teams of up to five persons are invited to participate in the competition.
You can register by sending the following information:
Team name Participant Names and affiliation
to this email: pablo.alvesdebarros@iit.it
IV. Organizers
Pablo Barros, Italian Institute of Technology (IIT), Italy Leandro Honorato, University of Pernambuco, Brazil Marco Matarese, Italian Institute of Technology (IIT), Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Italy
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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@iit.it website: https://www.pablobarros.nethttp://www.pablobarros.nethttps://www.p twitter: @PBarros_br
participants (1)
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Pablo Vinicius Alves De Barros