Perceived robot personality affects social attention in real-time human-robot interaction

Human Robot Interaction: Acquiring attention

Improving Human-Robot Interaction with a Social Attention System

In this paper, we present our work on building a social attention system for our sociable robot Leonardo. This system improves the robot’s capabilities when interacting with people, particularly in learning scenarios. We discuss reasons for building such a system, the implementation of the system, and then present an example interaction where such a system is useful. We conclude by discussing o...

Joint Attention in Human-Robot Interaction

We propose a computational model of joint attention consisting of three parts: responding to joint attention, initiating joint attention, and ensuring joint attention. This model is supported by psychological findings and matches the developmental timeline in humans. We present two experiments that test this model and investigate joint attention in human-robot interaction. The first experiment ...

Real-time brain machine interaction via social robot gesture control

Brain-Machine Interaction (BMI) system motivates interesting and promising results in forward/feedback control consistent with human intention. It holds great promise for advancements in patient care and applications to neurorehabilitation. Here, we propose a novel neurofeedbackbased BCI robotic platform using a personalized social robot in order to assist patients having cognitive deficits thr...

From Real-time Attention Assessment to "With-me-ness" in Human-Robot Interaction

Measuring “how much the human is in the interaction” – the level of engagement – is instrumental in building effective interactive robots. Engagement, however, is a complex, multi-faceted cognitive mechanism that is only indirectly observable. This article formalizes with-me-ness as one of such indirect measures. With-me-ness, a concept borrowed from the field of Computer-Supported Collaborativ...