Abstract

The principle behind anthropomorphic robots is that the appearance and behaviours enable the pre-defined social skills that people use with each other each day to be used as a means of interaction. One of the problems with this approach is that there are many attributes of such a robot which can influence a user’s behaviour, potentially causing undesirable effects. This paper aims to identify and discuss a series of the most salient behaviour influencing factors in the literature, related to a number of robot attributes. A particularly novel aspect of this work is the study of robots as monitoring or data collection devices, one of several behaviour influencing factors which has received insufficient attention. As a first step towards this, the PSA matrix is produced, which visualises the relationships between system attributes and user perceptions, grounded in empirical evidence in the literature. This matrix highlights gaps in the literature, brings together a series of salient behaviour influencing factors for the first time and gives a clear view of the state of the art.