Objectives This study examined the published works related to healthcare robotics for older
people using the attributes of health, nursing, and the human-computer interaction …

Recent progress in vision language foundation models has shown their ability to understand
multimodal data and resolve complicated vision language tasks, including robotics …

The implementation of mobile learning seems to be an emerging topic in many educational
institutions. As recently noticed, mobile technology has employed wireless technologies to …

Conversational agents are increasingly used to substitute or augment human service
employees. Due to their ability to use human‐like communicative behaviors, these agents …

Social robots are increasingly being used as a mediator between a therapist and a child in
autism therapy studies. In this context, most behavioural interventions are typically short …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Empathy is the ability to share someone else's feelings or experiences; it influences how
people interact and relate. Socially assistive robots (SAR) are a promising means of …

Delays in the completion of joint actions are sometimes unavoidable. How should a robot
communicate that it cannot immediately act or respond in a collaborative task? Drawing on …

In educational HRI, it is generally believed that a robots behavior has a direct effect on the
engagement of a user with the robot, the task at hand and also their partner in case of a …

Engagement is the process by which participants establish, maintain, and end their
perceived connection. Automatic engagement inference is one of the tasks required to …