International Workshop
on Social & Emotion AI for Industry
In conjunction with the
International Conference on Affective Computing and Intelligent Interaction

September 3rd, 2019
Cambridge, United Kingdom

Bridge the gap between academic and industrial research on Social & Emotion AI

The main strategic consulting companies (KPMG, McKinsey, Gartner Group, etc.), the most important international think-tanks (World Economic Forum, International Federation of Robotics, etc.), and the CEOs of the major ICT companies (IBM, Microsoft, etc.) consider the lack of social intelligence to be the last obstacle between AI-driven technologies and the achievement of their full potential in the everyday life of the users.

In such a perspective, the aim of SEAIxI is to bridge the gap between academic and industrial research on Social & Emotion AI, the domain aimed at the development of technologies, machines and artificial agents with the ability to deal appropriately with users' affect, attitudes, intentions, feelings, personality and expectations.

The workshop welcomes contributions that address, among others, questions such as "How can socially and emotionally intelligent systems be used in real-world scenarios?", "What are the business cases that are being (or going to be) developed?", "What are the challenges underlying the transfer of such systems to industry and application relevant settings?"

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Director of Research, CNRS - ISIR, Sorbonne University
Keynote Speakers
Chatbots, virtual assistants, games are some of the applications that make use of interactive virtual characters that can interact with human partners through their communicative and emotional capabilities. Using verbal and nonverbal means they can show their engagement in the interaction, adapt to their partners, show empathy and even manage the impression they produce. In her talk, Catherine will present the platform of a virtual character that can display a large palette of social attitudes and emotions. She will also talk about the recently developed computational models capable of adapting their behaviours in real-time to convey specific intentions. Finally, she will present different projects her research group is conducting in these areas, including the models to control the communication between several characters, their exchange of speaking turns, and to study how having group of characters arguing between themselves or with the user influences the outcome of the interaction.
Building socially aware virtual interaction partners
Principle Researcher & Research Manager, Human Understanding and Empathy Research Group, Microsoft Research
How can we create technologies to help us reflect on and change our behavior, improve our health and overall wellbeing both at work and at home? In this talk, Mary will briefly describe the last several years of work her research team has been doing in this area. They have developed wearable technology to help families manage tense situations with their children, mobile phone-based applications for handling stress and depression, as well as automatic affect sensing systems that can help people stay focused or recommend good times to take a break at work. The overarching goal is to develop sentient systems and agents that adapt to the user so that they can maximise their productivity and improve their health and happiness.
Using Technology for Health, Wellbeing and Empathy
Professor of Digital Life, Bangor University
Invited Speakers
Combatting ethics fatigue: Emotional AI,
citizen perspectives
and implications for MarTech
To be added after July 5th.
Full Professor at the University of Glasgow
Chief Research Officer at Neurodata Lab
Alessandro's main research interest
is Social Signal Processing,
the computing domain aimed at modelling, analysis and synthesis of nonverbal behaviour in
human-human and human-machine interactions.
Olga leads R&D projects in Affective Computing, analysis of social behaviour, as well as non-contact methods for measuring physiological signals. Her main research interests are multimodal machine learning and computational neuroscience.
Call for papers
We are calling for papers to be presented at SEAIxI 2019,
from both academy and industry participants.
The topics include, but are not limited to:
Automatic recognition, understanding and synthesis of verbal and non-verbal behaviour in human-human and human-machine interactions
Data collection and annotation for Social & Emotion AI systems in real-life settings
Robots and virtual assistants with Social & Emotion AI
Engagement/ disengagement & attention detection in interactive systems
Social & Emotion AI for the analysis of Customer experience (CX)
Industrial cases & applications of Social & Emotion AI
Successful collaborations between academia and industry
Position papers on how to bridge the gap between academia and industry

The contributions from both academy and industry participants, to be submitted in the IEEE proceedings format (, are expected to be 4 to 6 pages long, references included.

We call for submission of high-quality papers. The submitted manuscripts should not be submitted to another conference or workshop. Each paper will receive at least two reviews. The reviewing process for the workshop will be "double-blind". All submissions should, therefore, be appropriately anonymized not to reveal authors names or authors' institutions. Acceptance will be based on relevance to the workshop, novelty, and technical quality. At least one author of each paper must register and attend the workshop to present the paper.

Accepted papers will be published in special workshops proceedings.

Submission deadline: June 20 June 22, 2019
Notification of acceptance: July 5, 2019
Camera Ready papers: July 12, 2019
Workshop: September 3, 2019
Programme Comittee
Antonio Camurri, University of Genova (Italy)
Noura Al Moubayed, Durham University (UK)
Emilia Barakova, Eindhoven University of Technology (The Netherlands)
Anna Esposito, Second University of Naples (Italy)
Francois Foglia, Idiap Research Institute (Switzerland)
Donald Glowinski, University of Geneva (Switzerland)
Evdokia Kazimirova, Neurodata Lab LLC (Russia and USA)
Dmitry Lyusin, Higher School of Economics (Russia)
Gelareh Mohammadi, University of New South Wales (Australia)
Yashar Moshfeghi, Strathclyde University (UK)
Harry Nguyen, University of Glasgow Singapore (Singapore)
Magalie Ochis, University of Marseille (France)
Antonio Origlia, Federico II University Naples (Italy)
Leonid Shtanko, Yandex (Russia)
Igor Pivovarov, Entrepreneur, founder of OpenTalks.AI conference (Russia)
Dmitrii Fedotov, Ulm University (Germany)
Heysem Kaya, Namık Kemal University (Turkey)
Andrey Savchenko, Higher School of Economics (Russia)
Damien Dupré, Dublin City University (Ireland)
SEAIxI Workshop
at ACII 2019
The Old Schools
Trinity Ln, Cambridge

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