Apologies for the cross-posting
We would like to invite you to the Special Session "Personalisation and Adaptation in Social Robotics" at ICSR 2023.
Papers need to be submitted by the 15th September 2023, selecting the special session "Personalisation and Adaptation in Social Robotics" as the category of submission. The system and the review process are the same as for general papers.
Robots might be placed in unpredictable human-oriented dynamic
environments, outside of controlled or structured laboratories, such as private homes, shopping malls, or healthcare facilities, and it is likely that at times unexpected people's behaviours or suddenly changes of the environment and situational context may require a corresponding change in the robot's behaviours. These unexpected changes are unforeseen environmental variables that may affect the robots' sensor readings, algorithms, and overall behaviours and interaction with other agents and the environment. In such cases, personalisation is a key factor in achieving a successful long-term interactive relationship between social robots and users in human-centred settings, and can be implemented to allow users to easily program and increase a robot's functionalities to make their robotic companion more useful and engaging to interact with.
Several research started to investigate how robots' behaviours can be personalised based on a people's characteristics such as their personality, cognitive profile, and dynamic changes. To this extent, it is fundamental that robots are able to interact with their human counterparts in a personalised way. Multidisciplinary concepts to exploit include Theory of Mind, verbal and non-verbal natural communication, transparency.
In this session, we aim to explore how different techniques used for
enhancing natural human-robot communication, such as inner speech,
legible, predictable and transparent robotic behaviours, explicit and
non-explicit strategies, can be used to endow robots with the ability to
formulate purposeful conscious observations, build their knowledge of the
context and the agents (humans or machines) in the environment, and,
consequently, plan and act according to such awareness. This session aims at
tackling the critical barrier to the lack of robots ability to dinamically adapt to
people and contextual environment, starting from the need for personalised
robotic behaviours, to ensure that diverse populations and individuals’ specific needs and preferences are respected.
Topics of interest include, but are not limited to, the following:
Please do not hesitate to get in touch with us if you have any
questions regarding this special session.
Sílvia Moros and Alessandra Rossi