Mutual gaze with a robot affects human neural activity, research finds

Gaze is an extremely powerful and important signal during human-human communication and interaction, conveying intentions and informing about other's decisions. What happens when a robot and a human interact looking at each other?

Researchers at IIT-Istituto Italiano di Tecnologia (Italian Institute of Technology) investigated whether a humanoid robot's gaze influences the way people reason in a social decision-making context. What they found is that a mutual gaze with a robot affects human neural activity, influencing decision-making processes, in particular delaying them.

Thus, a robot gaze brings humans to perceive it as a social signal. These findings have strong implications for contexts where humanoids may find applications such as co-workers, clinical support, or domestic assistants.

The study, published in Science Robotics today, has been conceived within the framework of a larger overarching project led by Agnieszka Wykowska, coordinator of IIT's lab "Social Cognition in Human-Robot Interaction", and funded by the European Research Council (ERC). The project, called "InStance", addresses the question of when and under what conditions people treat robots as intentional beings. That is, whether, in order to explain and interpret a robot's behavior, people refer to mental states such as beliefs or desires.

The research paper's authors are Marwen Belkaid, Kyveli Kompatsiari, Davide de Tommaso, Ingrid Zablith, and Agnieszka Wykowska.

In most everyday life situations, the human brain needs to engage not only in making decisions but also in anticipating and predicting the behavior of others. In such contexts, gaze can be highly informative about others' intentions, goals, and upcoming decisions. Humans pay attention to the eyes of others, and the brain reacts very strongly when someone looks at them or directs the gaze to a certain event or location in the environment. Researchers investigated this kind of interaction with a robot.

Robots will be more and more present in our everyday life. That is why it is important to understand not only the technological aspects of robot design, but also the human side of the human-robot interaction. Specifically, it is important to understand how the human brain processes behavioral signals conveyed by robots".

Agnieszka Wykowska, Study Senior Author and Principal Investigator, Italian Institute of Technology

Wykowska and her research group asked a group of 40 participants to play a strategic game – the Chicken game – with the robot iCub while they measured the participants' behavior and neural activity, the latter by means of electroencephalography (EEG). The game is a strategic one, depicting a situation in which two drivers of simulated cars move towards each other on a collision course and the outcome depends on whether the players yield or keep going straight.

Researchers found that participants were slower to respond when iCub established mutual gaze during decision making, relative to averted gaze. The delayed responses may suggest that mutual gaze entailed a higher cognitive effort, for example by eliciting more reasoning about iCub's choices or a higher degree of suppression of the potentially distracting gaze stimulus, which was irrelevant to the task.

"Think of playing poker with a robot. If the robot looks at you during the moment you need to make a decision on the next move, you will have a more difficult time in making a decision, relative to a situation when the robot gazes away. Your brain will also need to employ effortful and costly processes to try to "ignore" that gaze of the robot" explains further Wykowska.

These results suggest that the robot's gaze "hijacks" the "socio-cognitive" mechanisms of the human brain – making the brain respond to the robot as if it was a social agent. In this sense, "being social" for a robot could be not always beneficial for humans, interfering with their performance and speed of decision-making, even if their reciprocal interaction is enjoyable and engaging.

Wykowska and her research group hope that these findings would help roboticists design robots that exhibit the behavior that is most appropriate for a specific context of an application. Humanoids with social behaviors may be helpful in assisting in care elderly or childcare, as in the case of the iCub robot, being part of experimental therapy in the treatment of autism. On the other hand, when focus on the task is needed, as in factory settings or in air traffic control, the presence of a robot with social signals might be distracting.