ArticleFrontiers in psychology2026
Human-AI attachment: how humans develop intimate relationships with AI.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Can't help falling in love… with a bot? A mixed-methods analysis of public discourses of AI intimacy and companionship on YouTube.Frontiers in sociology · 2026Article
- The effects of responsiveness, perceived warmth, and anthropomorphism on university students' use of conversational AI for learning support: a chain mediation analysis based on S-O-R framework.Frontiers in psychology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
With the widespread application of artificial intelligence in social and emotional companionship, understanding the intimate relationship between humans and AI has become a critical issue. Human-AI Attachment (HAIA) refers to a one-way, non-reciprocal emotional bond formed by individuals towards AI through direct interaction. This paper first sorts out the concept and characteristics of HAIA and proposes a three-stage developmental model, including functional expectation, emotional evaluation, and establishing representations. Human-AI attachment provides a framework for designing emotionally and socially capable AI, while also highlighting the risks of excessive reliance in socio-emotional contexts. Future research should further explore the conceptual structure, develop measurement tools, and examine the generational differences and evolutionary trends of HAIA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.