Identifying with someone is an exercise that helps us understand them deeply, empathize with them, and helps us overcome mistrust and prejudice. And this occurs even when that someone is a robot. These interpersonal dynamics were confirmed by an experimental study that was published in Scientific Reports. The study is the result of scientific collaboration between Italian and French scientists.
One of its authors, Francesco Pavani, professor of Psychology at the Center for Mind/Brain Sciences (CIMeC) and at the Department of Psychology and Cognitive Science of the University of Trento, commented: "We have demonstrated that by 'beaming' a participant into a robot we can change his or her attitude towards the robot."
Pavani explained how this was achieved: "By 'beaming', we mean that we gave the participants the illusion that they were looking through the robot's eyes, moving its head as if it were their head, look in the mirror and see themselves as a robot."
This, as a result, made human participants identify with robots and empathize more with them: "Unlike exercises in which the participants couldn't t move the robot's head or do that in a coordinated manner with other body movements, in our study the experience of walking in the shoes of a robot led the participants to adopt a friendlier attitude, to perceive them as socially closer."
The study contributes to improving the relationship with technology and helps people overcome their fear of robots. Pavani underlined: "These aspects are very important, because one of the problems of robotics today is how to make robots more acceptable to humans. I am thinking about automated assistive devices, in particular, which will be used more and more to help people in their daily life, for example in the case of individuals with reduced mobility. In our study we demonstrate that experiencing how it feels to be inside a robot makes it easier to accept them and communicate with them."
More information: J. Ventre-Dominey et al, Embodiment into a robot increases its acceptability, Scientific Reports (2019). DOI: 10.1038/s41598-019-46528-7
Journal information: Scientific Reports
Provided by Università di Trento