From robots to chatbots: unveiling the dynamics of human-AI interaction

Area of Science:

• Social Sciences
• Human-Computer Interaction
• Artificial Intelligence Ethics

Background:

• Artificial agents (robots, avatars, chatbots) are rapidly integrating into human social life.
• These agents are used in healthcare, education, and entertainment, offering efficiency and emotional connectivity.
• Understanding human-AI interaction is crucial for effective integration.

Purpose of the Study:

• To explore how different artificial agent forms influence social interaction processes.
• To analyze the roles artificial agents can and cannot assume in social environments.
• To examine human stances toward artificial agents and interaction dynamics.

Main Methods:

• Literature review and conceptual analysis of human-AI interaction.
• Identification of key design factors influencing social interaction.
• Exploration of psychological and social aspects of human-agent engagement.

Main Results:

• Artificial agent design significantly impacts social interaction processes like mental state attribution and emotion.
• Factors such as physical appearance, adaptability, and the uncanny valley effect are critical.
• Human reception and response are shaped by agent design and user beliefs.

Conclusions:

• Artificial agents play complex roles in social environments, requiring careful consideration of their design and capabilities.
• Human stances toward artificial agents vary, influencing interaction dynamics.
• Further research is needed to optimize human-AI social interactions.