Evidence map›Paper›PMID 41089650›Full record

ReviewFrontiers in psychology2025

Techno-emotional projection in human-GenAI relationships: a psychological and ethical conceptual perspective.

Chiara Saracini, María Isabel Cornejo-Plaza, Roberto Cippitani

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chiara SaraciniThe Neuropsychology and Cognitive Neuroscience Research Center (CINPSI Neurocog), Faculty of Health Sciences, Universidad Católica del Maule, Talca, Chile.
María Isabel Cornejo-PlazaNeurometa and IA+D, Research Group, Universidad Autónoma de Chile, Santiago, Chile.
Roberto CippitaniDepartment of Law, Università degli Studi di Perugia, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative artificial intelligence (GenAI) is being increasingly integrated in everyday applications and devices. In this new frontier of technology interface, psychologists hold a significant role in understanding and guiding human-AI interactions. This theoretical contribution proposes a framework for the psychological and ethical dimensions of human-GenAI relationships, structured across four key dimensions: (1) individual psychological characteristics and susceptibilities, such as insecure attachment styles, low self-efficacy, and emotional dysregulation or immaturity; (2) interpersonal dynamics, including emotional projection and the illusion of reciprocity; (3) processes occurring at the group level, such as the symbolic inclusion of GenAI agents within human communities or social groups and the evolution of societal norms; and (4) emerging ethical concerns, such as perceived agency, illusory consent, and the use of synthetic data that may amplify biases, alongside the utilization and acquisition of biometric and cognitive data for interaction modeling. Within the sphere of interpersonal dynamics, we propose the concept of "Techno-Emotional Projection" (TEP) to describe how emotionally vulnerable users may project relational needs onto emotionally responsive but non-conscious technologies. This projection can lead to a sort of "emotional looping" (a recursive reinforcement of expectations through repeated interaction) and, over time, to the formation of a synthetic attachment to the GenAI technology. Drawing from psychological theories and empirical studies, we argue that these relationships have subjectively real consequences and deserve careful study. Finally, we propose directions for ethical design, emotional AI literacy, and socially responsible integration of GenAI into human life. This perspective aims to foster a balanced, informed, and human-centered approach to this rapidly evolving field.

Indexed as

AI ethicsgenerative artificial intelligencehuman-AI interactionpsychological dynamicstechno-emotional projection

Identifiers

PMID41089650
PMCPMC12515930

What OpenQuestion holds

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Registered trials

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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.