  Trust in robots is widely believed to be imperative for the adoption of
robots into people's daily lives. It is, therefore, understandable that the
literature of the last few decades focuses on measuring how much people trust
robots -- and more generally, any agent - to foster such trust in these
technologies. Researchers have been exploring how people trust robot in
different ways, such as measuring trust on human-robot interactions (HRI) based
on textual descriptions or images without any physical contact, during and
after interacting with the technology. Nevertheless, trust is a complex
behaviour, and it is affected and depends on several factors, including those
related to the interacting agents (e.g. humans, robots, pets), itself (e.g.
capabilities, reliability), the context (e.g. task), and the environment (e.g.
public spaces vs private spaces vs working spaces). In general, most
roboticists agree that insufficient levels of trust lead to a risk of
disengagement while over-trust in technology can cause over-reliance and
inherit dangers, for example, in emergency situations. It is, therefore, very
important that the research community has access to reliable methods to measure
people's trust in robots and technology. In this position paper, we outline
current methods and their strengths, identify (some) weakly covered aspects and
discuss the potential for covering a more comprehensive amount of factors
influencing trust in HRI.
