Abstract English is the dominant language in the study of human cognition and behavior: the
individuals studied by cognitive scientists, as well as most of the scientists themselves, are …

This narrative review aimed to elucidate which robot-related characteristics predict
relationship formation between typically-develo** children and social robots in terms of …

Personalized education technologies capable of delivering adaptive interventions could
play an important role in addressing the needs of diverse young learners at a critical time of …

In face-to-face interactions, parties rapidly react and adapt to each other's words,
movements and expressions. Any science of face-to-face interaction must develop …

Backchannels, ie short interjections of the listener, serve important meta-conversational
purposes like signifying attention or indicating agreement. Despite their key role, automatic …

Social robots are a new technology designed to help and support people in a variety of
domains, including healthcare, workplaces, transportation, education, and entertainment …

In this chapter, we provide an overview of research on long-term interaction with Socially
Interactive Agents (SIAs). Over the past of couple decades, as SIAs have become more …

Backchanneling models, designed to enhance the interactive capabilities of robots, have
primarily been trained on human-human interaction data. However, applying such data …

Voice-based information transfer via podcasts is increasingly taking root in education,
entertainment, and business communication. In mainstream literature, they have been …

Allowing children to engage in technologically enabled embodied interaction activities has
the potential to enhance learning and play. This work leverages the capabilities provided by …