Many researchers use Wizard of Oz (WoZ) as an experimental technique, but there are
methodological concerns over its use, and no comprehensive criteria on how to best employ …

Background The use of artificial intelligence (AI) is growing in food supply chains. The
ethical language associated with food supply and technology is contextualised and framed …

In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

The wide adoption of Machine Learning (ML) technologies has created a growing demand
for people who can train ML models. Some advocated the term" machine teacher''to refer to …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …

We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

Programming new skills on a robot should take minimal time and effort. One approach to
achieve this goal is to allow the robot to ask questions. This idea, called Active Learning, has …

Social robots are becoming increasingly diverse in their design, behavior, and usage. In this
chapter, we provide a broad-ranging overview of the main characteristics that arise when …

This paper addresses some of the problems that arise when applying active learning to the
context of human-robot interaction (HRI). Active learning is an attractive strategy for robot …