Automated dialogue or conversational systems are anthropomorphised by developers and
personified by users. While a degree of anthropomorphism may be inevitable due to the …

Insights from cognitive science about how people understand explanations can be
instructive for the development of robust, user-centred explanations in eXplainable Artificial …

In this work, we present Robots for Social Justice (R4SJ): a framework for an equitable
engineering practice of Human-Robot Interaction, grounded in the Engineering for Social …

Affective behaviors enable social robots to not only establish better connections with
humans but also serve as a tool for the robots to express their internal states. It has been …

Prior work has yielded contradicting evidence regarding the age at which children
consistently and correctly categorize things as living or non-living. The present study tested …

Research has shown that gendered robot designs prompt users to carry their gender biases
into human-robot interactions. Yet avoiding gendered designs in human-robot interaction …

In children–robot interactions, an impression of a robot's “social presence”(ie, an interactive
agent that feels like a person) links positively to an improved relationship with the robot …

In this paper, we investigated whether Canadian preschoolers prefer to learn from a
competent robot over an incompetent human using the classic trust paradigm. An adapted …

For social robots to succeed in human environments, they must respond in effective yet
appropriate ways when humans violate social and moral norms, eg, when humans give …

The very first moments of co-presence, during which a robot appears to a participant for the
first time, are often “off-the-record” in the data collected from human-robot experiments …