Measuring empathy for human and robot hand pain using electroencephalography

• Published in: Scientific reports Vol. 5; no. 1; p. 15924
• Main Authors: Suzuki, Yutaka, Galli, Lisa, Ikeda, Ayaka, Itakura, Shoji, Kitazaki, Michiteru
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.11.2015; Nature Publishing Group
• Subjects: 631/378/2645/1458; 631/378/2649/1723; 631/477/2811; Analysis of Variance; EEG; Electroencephalography; Electroencephalography - methods; Emotions; Empathy; Evoked Potentials - physiology; Female; Hand; Hand - physiopathology; Humanities and Social Sciences; Humans; Male; multidisciplinary; Pain; Pain - physiopathology; Pain - psychology; Pain Measurement - methods; Photic Stimulation; Robotics - methods; Robots; Science; Variance analysis; Visual Perception - physiology; Young Adult
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/srep15924

This study provides the first physiological evidence of humans’ ability to empathize with robot pain and highlights the difference in empathy for humans and robots. We performed electroencephalography in 15 healthy adults who observed either human- or robot-hand pictures in painful or non-painful situations such as a finger cut by a knife. We found that the descending phase of the P3 component was larger for the painful stimuli than the non-painful stimuli, regardless of whether the hand belonged to a human or robot. In contrast, the ascending phase of the P3 component at the frontal-central electrodes was increased by painful human stimuli but not painful robot stimuli, though the interaction of ANOVA was not significant, but marginal. These results suggest that we empathize with humanoid robots in late top-down processing similarly to human others. However, the beginning of the top-down process of empathy is weaker for robots than for humans.