Workshop on Affective Computing for Social Robotics;
A half-day workshop hosted at IEEE RO-MAN 2016 in NYC
Paper submission deadline: 30 June (Extended)
Notification of acceptance : 8 July
Workshop date: 31 August
Social Robots are expected to act as mediators to elicit more active
communication and provide life support for humans. Social robots have found
a number of applications in many aspects of our daily life, including, but
not limited to, elderly care, therapeutic and educational purposes (e.g.
therapy for children with autism), entertainment and so on. As the critical
role for robots here is to interact with and assist humans in their
every-day activities, the goal is to endow them with ‘social intelligence’.
This, in turn, would allow them to simulate the human-human interaction and
communication by being more engaging and sensitive to our affective states
(such as emotional states).
Considering a wide variety of users, the robots should be capable of
deciding what kind of services they provide. The accurate and autonomous
evaluation is needed through the technology (without human operator
intervention), especially if the users who are children or people with
special needs. For this “user-centred” human-robot interaction, this
requires that the social robots can learn the user’s emotional states and
be able to respond to it accordingly.
Advances in the affective computing field have recently allowed us to
measure humans’ affective states such as emotions, empathy and engagement
from different modalities. These include audio (verbal and non-verbal
vocalizations), visual (body posture and facial expressions) and
physiological (heart rate and electrodermal activity) signals. While
advanced modelling techniques based on computer vision and machine learning
have been proposed so far to analyse human behaviour using these
modalities, a little attention has been paid to analysis of affect from
naturalistic behaviours as expressed in human-robot interactions (HRI).
The main aim of this workshop is to bring together researchers working in
Social Robotics and Affective Computing, and exploit jointly the most
recent advances in these two fields. The workshop is oriented towards
sharing the ideas of participants with diverse background ranging from
robotics, machine learning, computer vision and social psychology. The goal
is to facilitate the integration of social robotics and affective computing
as an emerging field. In particular, the goal of the workshop is to
identify new challenges in designing and learning of social robots that are
affect-sensitive. To this end, a number of topics are to be addressed:
The design of social robots, including studies showing the influence of the
robots design on the social interactions with humans.
- The modelling of human affect from data recorded during HRI.
- The fusion of different modalities (audio, visual and physiological) for
estimation of humans’ affective states during HRI.
- Applications of social robots to elderly care, entertainment, but also
assistive tools for individuals with autism and/or other neurodevelopmental
In addition to these, other contributions addressing the social dimension
of HRI are highly encouraged.
The intended audience are researchers working in the multidisciplinary area
of HRI, including social robotics, affective computing, and behavioural
experts from psychology and social sciences. The participants should submit
full papers (up to 6 pages). The papers will undergo a peer-review process
and will be reviewed by at least two reviewers. The accepted papers will be
invited for an oral presentation or a poster presentation at the Workshop.
Topics of Interest Include (but are not limited to):
Affective and cognitive sciences
Machine learning and computer vision, and their adaptation in human‐robot
Non-verbal cues and expressiveness in interactions: gesture, posture,
social spaces and facial expressions
Human augmentation, rehabilitation, and medical robots
Robot applications in education, entertainment, and therapy
Social robots that can adapt to different users
Socially assistive robots
The participants should submit full papers (up to 6 pages) using the IEEE
conference templates https://ras.papercept.net/. The papers will undergo a
peer-review process and will be reviewed by at least two reviewers. The
accepted papers will be invited for an oral presentation or a poster
presentation at the Workshop.
The Submission site is now online.
Jaeryoung Lee, Chubu University
Ognjen Rudovic, Imperial College London
Hiroko Kamide, Tohoku University
Department of Robotic Science and Technology, Chubu University, Japan
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