I, robot: depression plays different roles in human-human and human-robot interactions

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Clinical Psychology

Background:

• Depression significantly impairs social reward processing, affecting daily interactions.
• Socially engaging robots are increasingly explored for mental health interventions, particularly for depressive symptoms.

Purpose of the Study:

• To investigate how mild depressive symptoms affect social reward processing during human-robot versus human-human interactions.
• To compare the neural responses associated with social feedback in individuals with and without mild depression.

Main Methods:

• Utilized the social incentive delay task with event-related potential (ERP) recording in 70 participants (35 mild depression, 35 controls).
• Participants received performance feedback from either humans or a robot.
• Analyzed ERP components such as contingent-negative variation, feedback-related negativity (FRN), and P3.

Main Results:

• Participants with mild depression showed altered reward anticipation and consumption during human feedback compared to controls.
• Depression modulated both early (FRN) and late (P3) phases of reward consumption in the human feedback condition.
• In contrast, only the early phase (FRN) was affected by depression in the robot feedback condition.

Conclusions:

• Human-robot interaction may be less susceptible to the negative effects of depression on social reward processing compared to human-human interaction.
• Findings suggest potential for robot-assisted interventions to mitigate depression-related social interaction deficits.
• Social robots could offer a valuable tool in clinical practice for individuals experiencing depressive symptoms.