Evidence map›Paper›PMID 41301288›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

The Digital Centaur as a Type of Technologically Augmented Human in the AI Era: Personal and Digital Predictors.

Galina U Soldatova, Svetlana V Chigarkova, Svetlana N Ilyukhina

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Galina U SoldatovaFaculty of Psychology, Lomonosov Moscow State University, Moscow 119991, Russia.ORCID 0000-0002-6690-7882
Svetlana V ChigarkovaFaculty of Psychology, Lomonosov Moscow State University, Moscow 119991, Russia.ORCID 0000-0001-7473-9025
Svetlana N IlyukhinaFaculty of Psychology, Lomonosov Moscow State University, Moscow 119991, Russia.

Funding

Russian Science Foundation 23-18-00350
6 · The paper itself

Abstract

Industry 4.0 is steadily advancing a reality of deepening integration between humans and technology, a phenomenon aptly described by the metaphor of the "technologically augmented human". This study identifies the digital and personal factors that predict a preference for the "digital centaur" strategy among adolescents and young adults. This strategy is defined as a model of human-AI collaboration designed to enhance personal capabilities. A sample of 1841 participants aged 14-39 completed measures assessing digital centaur preference and identification, emotional intelligence (EI), mindfulness, digital competence, technology attitudes, and AI usage, as well as AI-induced emotions and fears. The results indicate that 27.3% of respondents currently identify as digital centaurs, with an additional 41.3% aspiring to adopt this identity within the next decade. This aspiration was most prevalent among 18- to 23-year-olds. Hierarchical regression showed that interpersonal and intrapersonal EI and mindfulness are personal predictors of the digital centaur preference, while digital competence, technophilia, technopessimism (inversely), and daily internet use emerged as significant digital predictors. Notably, intrapersonal EI and mindfulness became non-significant when technology attitudes were included. Digital centaurs predominantly used AI functionally and reported positive emotions (curiosity, pleasure, trust, gratitude) but expressed concerns about human misuse of AI. These findings position the digital centaur as an adaptive and preadaptive strategy for the technologically augmented human. This has direct implications for education, highlighting the need to foster balanced human-AI collaboration.

Indexed as

artificial intelligencedigital centaurdigital competenceemotional intelligenceextended mindhuman–AI collaborationtechnologically augmented personality

Identifiers

PMID41301288
PMCPMC12649359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.