Understanding and modelling children's cognitive processes and their
behaviour in the context of their interaction with robots and social artificial
intelligence systems is a fundamental prerequisite for meaningful and effective
robot interventions. However, children's development involve complex faculties
such as exploration, creativity and curiosity which are challenging to model.
Also, often children express themselves in a playful way which is different
from a typical adult behaviour. Different children also have different needs,
and it remains a challenge in the current state of the art that those of
neurodiverse children are under-addressed. With this workshop, we aim to
promote a common ground among different disciplines such as developmental
sciences, artificial intelligence and social robotics and discuss cutting-edge
research in the area of user modelling and adaptive systems for children.

本文通过介绍开展儿童认知过程、与机器人和社会人工智能系统中儿童行为相结合的理论研究和探讨，揭示了在当前人工智能技术发展的状态下，开展儿童认知过程的研究存在的挑战和难点，以及所要求的跨学科研究的共同基础。

从建模到理解儿童在机器人和社交人工智能环境中的行为

From Modelling to Understanding Children's Behaviour in the Context of Robotics and Social Artificial Intelligence

BRILLO (Bartending Robot for Interactive Long-Lasting Operations) project has
the overall goal of creating an autonomous robotic bartender that can interact
with customers while accomplishing its bartending tasks. In such a scenario,
people's novelty effect connected to the use of an attractive technology is
destined to wear off and, consequently, it negatively affects the success of
the service robotics application. For this reason, providing personalised
natural interaction while accessing its services is of paramount importance for
increasing users' engagement and, consequently, their loyalty. In this paper,
we present the developed three-layers ROS architecture integrating a perception
layer managing the processing of different social signals, a decision-making
layer for handling multi-party interactions, and an execution layer controlling
the behaviour of a complex robot composed of arms and a face. Finally, user
modelling through a beliefs layer allows for personalised interaction.

本文介绍了 BRILLO 项目，旨在创建一个能够与顾客进行人性化交互的自动酒吧机器人，使用 ROS 三层架构实现了不同社交信号的处理、多方交互处理、自适应交互行为控制和用户建模。