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