Communication with robots is challenging, partly due to their differences from humans and
the consequent discrepancy in people's mental model of what robots can see, hear, or …

The human cognitive biases that result in anthropomorphism, the moral confusion
surrounding the status of robots, and wider societal concerns related to the deployment of …

In human–robot interaction, transparency is essential to ensure that humans understand and
trust robots. Understanding is vital from an ethical perspective and benefits interaction, eg …

Autonomous robots can be difficult to design and understand. Designers have difficulty
decoding the behaviour of their own robots simply by observing them. Naive users of robots …

In learning by demonstration with social robots, fluid and coordinated interaction between
human teacher and robotic learner is particularly critical and yet often difficult to assess. This …

The lack of transparency in robotic learning processes poses a significant challenge to
effective human-robot collaboration. This is particularly relevant in non-industrial settings …

There is an increased interest in artificially intelligent technology that surrounds us and takes
decisions on our behalf. This creates the need for such technology to be able to …

In a rapidly evolving digital landscape autonomous tools and robots are becoming
commonplace. Recognizing the significance of this development, this paper explores the …

Errors in visual perception may cause problems in situated dialogues. We investigated this
problem through an experiment in which human participants interacted through a natural …

Picking up objects requested by a human user is a common task in human-robot interaction.
When multiple objects match the user's verbal description, the robot needs to clarify which …