Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

Many studies have shown that using robot platforms can be effective for teaching children with autism spectrum disorder (ASD). The aim of this study was to compare performance on an imitation task, as well as focus attention levels and the presence of social behaviours of children with ASD and typically developing (TD) children during an imitation task under two different conditions, with robots and human demonstrators. The results suggested that TD children did not imitate more than children with ASD. Children (...) with ASD did not imitate the robot more than they imitated a person, but they showed more focused attention to robots and expressed more social behaviours in interaction with the robots. Behaviours that were significantly more present in ASD children than in TD children included touching the robot in the robot demonstrator condition and focusing on the robot in the person demonstrator condition. This implies a possible preference of children with ASD towards robots rather than towards people. (shrink)