HRI

Discovering SOCIABLE: Using a Conceptual Model to Evaluate the Legibility and Effectiveness of Backchannel Cues in an Entertainment Scenario

Robots are expected to become part of everyday life. However, while there have been important breakthroughs during the recent decades in terms of technological advances, the ability of robots to interact with humans intuitively and effectively is …

Cognitive System Framework for Brain-Training Exercise based on Human-Robot Interaction

Every 3 seconds someone develops dementia worldwide.Brain-training exercises, preferably involving also physical activity, have shown their potential to monitor and improve the brain function of people affected by Alzheimer Disease (AD) or Mild …

Natural teaching of robot-assisted rearranging exercises for cognitive training

Social Assistive Robots are a powerful tool to be used in patients’ cognitive training. The purpose of this study is to evaluate a new methodology to enable caregivers to teach cognitive exercises to the robot in an easy and natural way. We build …

Learning Robot Policies Using a High-Level Abstraction Persona-Behaviour Simulator

Collecting data in Human-Robot Interaction for training learning agents might be a hard task to accomplish. This is especially true when the target users are older adults with dementia since this usually requires hours of interactions and puts quite …

Deciding the different robot roles for patient cognitive training

Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) represent a major challenge for health systems within the aging population. New and better instruments will be crucial to assess the disease severity and progression, as well as to improve …