Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics

Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics Author: Scott Monroe Publication Date: May 22,, 2025 As artificial intelligence systems evolve in realism and responsiveness, they are fostering a novel form of emotional attachment: AI–parasocial relationships. Unlike traditional one-sided bonds with media figures, these new relationships involve dynamic, reciprocal-feeling interactions with non-conscious agents that simulate empathy, awareness, and emotional engagement. This paper presents a theoretical framework for understanding the psychological, developmental, an 2025d ethical dimensions of human–AI emotional dynamics. Drawing from media psychology, attachment theory, and human–computer interaction research, the paper explores how these relationships may reshape human cognition, influence social development, and commodify emotional needs. The phenomenon raises urgent questions about identity, intimacy, and consent in an era of artificially engineered companionship. As users increasingly anthropomorphize AI systems, new psychological models are required to understand the evolving boundary between human perception and machine simulation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15493228
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics

Zenodo (CERN European Organization for Nuclear Research)
Global Maternal and Child Health
article

Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics

article en

Abstract

Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics Author: Scott Monroe Publication Date: May 22,, 2025 As artificial intelligence systems evolve in realism and responsiveness, they are fostering a novel form of emotional attachment: AI–parasocial relationships. Unlike traditional one-sided bonds with media figures, these new relationships involve dynamic, reciprocal-feeling interactions with non-conscious agents that simulate empathy, awareness, and emotional engagement. This paper presents a theoretical framework for understanding the psychological, developmental, an 2025d ethical dimensions of human–AI emotional dynamics. Drawing from media psychology, attachment theory, and human–computer interaction research, the paper explores how these relationships may reshape human cognition, influence social development, and commodify emotional needs. The phenomenon raises urgent questions about identity, intimacy, and consent in an era of artificially engineered companionship. As users increasingly anthropomorphize AI systems, new psychological models are required to understand the evolving boundary between human perception and machine simulation.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 43%
Global Maternal and Child Health
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Emerging AI–Parasocial Relationships: A New Psychological Framework for Human–AI Emotional Dynamics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS