New Scale Measures Human Attachment to AI, Revealing Complex Emotional Dynamics

Groundbreaking Study Applies Attachment Theory to Human-AI Relationships

Researchers from Waseda University in Japan have made a significant breakthrough in understanding human-AI relationships by applying attachment theory, traditionally used to explain human interpersonal bonds. The study, published in the journal Current Psychology on May 9, 2025, introduces a novel self-report scale that measures attachment-related tendencies toward AI 1

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The Experiences in Human-AI Relationships Scale (EHARS)

Source: Phys.org

The research team, led by Research Associate Fan Yang and Professor Atsushi Oshio, developed the Experiences in Human-AI Relationships Scale (EHARS) to assess how people form emotional connections with AI. The scale revealed that some individuals seek emotional support and guidance from AI, mirroring human interactions 2

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Key findings from the study include:

1. Nearly 75% of participants turned to AI for advice
2. About 39% perceived AI as a constant, dependable presence
3. Two dimensions of human attachment to AI were identified: anxiety and avoidance

Attachment Anxiety and Avoidance in Human-AI Relationships

Source: Neuroscience News

The study differentiated between two types of attachment patterns in human-AI interactions 3

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1. Attachment Anxiety: Characterized by a need for emotional reassurance and fear of receiving inadequate responses from AI
2. Attachment Avoidance: Marked by discomfort with closeness and a preference for emotional distance from AI

These findings suggest that psychological frameworks used for human relationships may also apply to human-AI interactions, although the researchers caution that this does not necessarily indicate genuine emotional attachments to AI at present.

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Implications for AI Design and Mental Health Applications

The research has significant implications for the ethical design of AI companions and mental health support tools. Mr. Yang explains, "As AI becomes increasingly integrated into everyday life, people may begin to seek not only information but also emotional support from AI systems" 1

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Potential applications include:

1. Tailoring AI chatbots for loneliness interventions or therapy apps to users' emotional needs
2. Providing more empathetic responses for users with high attachment anxiety
3. Maintaining respectful distance for users with avoidant tendencies
4. Ensuring transparency in AI systems that simulate emotional relationships to prevent overdependence or manipulation

Future Directions and Societal Impact

The EHARS could be used by developers and psychologists to assess how people relate to AI emotionally and adjust interaction strategies accordingly. This research promotes a better understanding of human-technology connections on a societal level, potentially guiding policy and design practices that prioritize psychological well-being 2

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As AI continues to evolve and integrate into daily life, this groundbreaking study provides valuable insights into the complex emotional dynamics of human-AI relationships, paving the way for more ethical and psychologically informed AI development.