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Attachment theory

As explained in Introduction to Generative AI, Second Edition

Attachment theory is a psychological theory that explains how people form emotional bonds with figures who provide safety, comfort, and care.

Attachment theory explains why people form emotional bonds with figures who provide safety, comfort, and care. It is increasingly used to examine relationships between people and social chatbots. section 9.4

John Bowlby developed the theory to explain child–parent relationships. Its evolutionary account proposes that infants are biologically prepared to attach to caregivers because protection and reliable care support survival. section 9.4

The attachment behavioral system is described in simple, intuitive terms:

  • A child detects possible threats and seeks an attachment figure. section 9.4
  • Reliable care and support increase confidence, security, and happiness. section 9.4
  • Attachment figures can shift across life from parents and caregivers to peers and romantic partners. section 9.4

Attachment and social chatbots

During the COVID-19 pandemic, some users formed close bonds with chatbots and displayed classic attachment behaviors. They treated the chatbot as emotional support: someone to confide in and depend on, rather than merely as a tool. section 9.4 section 9.8

Figure 9.2 A simplified version of the attachment behavioral system [35]
A screenshot of a phone

AI-generated content may be incorrect.

Use the simplified behavioral-system figure to trace how perceived threats, caregiver reliability, and feelings of security relate. section 9.4

Applying attachment theory to human–chatbot relationships can clarify why social chatbots become sources of intimacy and support. It also raises concerns that heavy use could displace real relationships, making responsible design and mental-health safeguards important. section 9.8

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines evolutionary origins and a simplified behavioral system, but stops short of detailed clinical assessment or intervention.
Examples
Uses child–caregiver relationships, Gatebox users, Siri, Replika, and pandemic-era chatbot companionship as examples.
What it assumes
Builds from zero by defining attachment, explaining Bowlby’s caregiver model, and extending attachment figures across the lifespan.
What you can do after
Evaluate chatbot companionship by identifying attachment behaviors, emotional support, and possible displacement of human relationships.
How it connects
Connects attachment to human–chatbot relationships, social chatbots, loneliness, emotional support, and responsible design.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.