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Workshop

Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios.

Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception.


Program

The workshop is scheduled to happen on the 30th of October of 2020. It will start at 15h00 CET and it will have a total duration of 3h30min. 

The participation is free, and a Zoom room will be available shortly before the workshop starts. Follows the current program:

  • Welcome by the Organizers (5min)
  • Invited Speaker 1  (30min)
  • Invited Speaker 2  (30min)
  • Break (10min)
  • Invited Speaker 3 (30min)
  • Video + Live Q/A with authors (60 min)
  • Break (10 min)
  • Round Table Discussion (30min)

Registration

The registration to the workshop is free, but in order to guarantee a place to attend the workshop, please register here.


Invited Speakers

Ginevra Castellano

Ginevra Castellano is a Professor in Intelligent Interactive Systems at the Department of Information Technology, Uppsala University, where she leads the Uppsala Social Robotics Lab. Her research interests are in the areas of social robotics and affective computing, and include social learning, personalized adaptive robots, multimodal behaviours and uncanny valley effect in robots and virtual agents. She has published more than 100 research papers on these topics, receiving over 3000 citations. She was the coordinator of the EU FP7 EMOTE (EMbOdied-perceptive Tutors for Empathy-based learning) project (2012–2016). She is the recipient of a Swedish Research Council starting grant (2016–2020) and PI for Uppsala University of the EU Horizon 2020 ANIMATAS (Advancing intuitive human-machine interaction with human-like social capabilities for education in schools; 2018-2021) project, the COIN (Co-adaptive human-robot interactive systems) project, funded by the Swedish Foundation for Strategic Research (2016–2021), and the project "The ethics and social consequences of AI & caring robots. Learning trust, empathy, and accountability" (2020-2024), supported by the Marianne and Marcus Wallenberg Foundation, Sweden. Castellano was a general co-chair at IVA 2017. She is an Associate Editor of Frontiers in Robotics and AI, Human-Robot Interaction section, and IEEE Transactions in Affective Computing. Castellano is a recipient of the 10-Year Technical Impact Award at the ACM International Conference on Multimodal Interaction 2019.
 
Title: TBA

Ellen Souza

Title: TBA

Yukie Nagai

Title: TBA


Call for contributions

Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words.

Submissions must be in PDF following and must contain the abstract title, authors, and affiliations. Send your PDF manuscript indicating [WASP ICDL 2020] in the subject to:

pablo.alvesdebarros [at] iit.it

The abstracts will be peer-reviewed by experts from all over the world. 

To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. 

Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes.

 

Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception. The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted.

 

Interested Topics:

The primary covered topics are (but 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

 

Important dates:

Abstract submission deadline: 12th of October

Notification of acceptance: 17th of October

Frontiers Research Topic Abstract Deadline: 24th of October

Video submission: 24th of October


Frontiers Research Topic

We invite all the workshop participants, and interested persons, to submit to our Frontiers Research Topic on Shared Affective Computing.

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.

Accepted abstracts have the option to opt-in for the research topic during submission. 


Organizers

Pablo Barros

 

Pablo received his BSc in Information Systems from the Universidade Federal Rural de Pernambuco and his MSc in Computer Engineering from the Universidade de Pernambuco, both in Brazil. He received his Ph.D. in computer science from Universität Hamburg, Germany, and currently, he is a postdoctoral researcher at the Italian Institute of Technology in Genoa, Italy. His main research interests include deep learning and neurocognitive systems for emotional perception and representation, affect-based human-robot interaction and its application on social robots. He has been a guest editor of the journals "IEEE Transactions on Affective Computing", "Frontiers on Neurorobotics" and "Elsevier Cognitive Systems Research". He took part in the proposition and organization committee, as publication chair, of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2020.

Alessandra Sciutti 

Alessandra is the head of the COgNiTive Architecture for Collaborative Technologies (CONTACT) unit. In 2018 she has been awarded the ERC Starting Grant wHiSPER, focused on the investigation of joint perception between humans and robots. She published more than 60 papers and abstracts and participated in the coordination of the CODEFROR European IRSES project. She is an Associate Editor of Robots and Autonomous Systems, Cognitive Systems Research and the International Journal of Humanoid Robotics and she has served as a member of the Program Committee for the International Conference on Human-Agent Interaction and IEEE International conference on Development and Learning and Epigenetic Robotics.  The scientific aim of her research is to investigate the sensory and motor mechanisms underlying mutual understanding in human-human and human-robot interaction.


The workshop is organized in the framework of the Starting Grant wHiSPER (G.A. No 804388) funded by the  European  Research  Council  (ERC)  under the  European Union’s  Horizon  2020  research and innovation programme.

ERC Starting Grant
Principal Investigator: Alessandra Sciutti
Period: 3/2019- 2/2024. G.A: 804388

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