Enhanced emotional responses during social coordination with a virtual partner

Area of Science:

• Cognitive Science
• Human-Computer Interaction
• Social Robotics

Background:

• Emotion and motion are key aspects of social experience.
• Movement coordination dynamics can reveal insights into human-agent interaction.

Purpose of the Study:

• To investigate emotional responses during human-virtual partner movement coordination.
• To explore how virtual partner intention (cooperative vs. competitive) affects emotional intensity.
• To determine if perceived partner identity (human vs. machine) influences emotional responses.

Main Methods:

• Twenty-one subjects performed finger movement coordination tasks with a virtual partner (VP).
• VP movements were governed by Haken-Kelso-Bunz (HKB) equations, with adjustable parameters for intention.
• Skin potential responses (SPR) measured emotional intensity; post-trial ratings assessed perceived intention and partner identity.

Main Results:

• Higher emotional responses (SPR) were observed when subjects perceived the VP as human.
• Stable coordination patterns led to greater emotional responses.
• VP's cooperative or competitive intention modulated emotional intensity.

Conclusions:

• Emotional responses in human-agent coordination are significantly influenced by the dynamic behavior and perceived identity of the agent.
• Findings have implications for designing more empathetic and effective socially cooperative machines.
• Understanding these dynamics can inform interventions for mental health and brain disorders related to social interaction.