Titlebook: Social Robotics; 15th International C Abdulaziz Al Ali,John-John Cabibihan,Shuzhi Sam Ge Conference proceedings 2024 The Editor(s) (if appl

漂浮

,Teachable Robots Learn What to Say: Improving Child Engagement During Teaching Interaction,ferent social behaviours and characteristics, such as speech, gaze, and vocal pitch, to personalise the teaching interaction, and sustain interest for students over time. Research in this field shows a growing use of reinforcement learning to achieve this adaptation, however there is limited researc

蚀刻

,Social Robots in the Wild and the Novelty Effect,ntent to buy wine were interacting with the robot rather than the intended audience of wine-buying customers. Behavioural data, moreover, suggests a very different evaluation of the robot than the surveys that were completed. We also found that groups were interacting more with the robot than indivi

Middle-Ear

Ethical, Legal, and Social Requirements for Assistance Robots in Healthcare,uffers today already from a shortage of skilled workers, so innovative approaches are required. One possible solution with high future potential are assistance robots that provide support with everyday or work tasks. The aim of this study is to investigate the ethical, legal, and social aspects of t

AND

,Emotional Understanding and Behavior Learning for Haru via Social Reinforcement Learning, near future. Being able to correctly perceive the emotions of users and react to it can increase the sense of trust, affinity, and social presence of human-robot interaction. In this paper, we propose a human-centered reinforcement learning strategy to train social robots to achieve autonomous emot

外观

,Talking Like One of Us: Effects of Using Regional Language in a Humanoid Social Robot,ion as well as acceptance by the users are important issues for future successful Human-Robot Interaction (HRI). The type of verbal communication has a special significance here. In this paper we investigate the effects of spoken language varieties of a non-standard/regional language compared to sta

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peritonitis

defile

,A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outhe robot and human learn to use and respond to the same language symbols that convey homeostatic needs and the stimuli that satisfy the homeostatic needs, respectively. We adopted a differential outcomes training (DOT) protocol whereby the robot provides feedback specific (differential) to its inter

hypnotic

弯曲的人

,The Influence of a Robot’s Personality on Real-Time Explanations of Its Navigation,gate adverse effects on humans and enhance their understanding of robots’ decisions. We present real-time multi-modal explanations of a robot’s navigation and model the influence of a robot’s personality on it. Our approach considers the contextual background and spatial aspect of the robot environm