Evidence map›Paper›PMID 41323901›Full record

ArticleFrontiers in psychology2025

General Attitudes towards Artificial Intelligence Scale (GAAIS): Hungarian adaptation and links to personality traits.

Sándor Rózsa, Szabolcs Bandi, István Hartung, Imre A Török, Julia É Varga, Eszter H Somlai, Robert Herold, János Kállai

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Article 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 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sándor RózsaDepartment of Personality and Health Psychology, Institute of Psychology, Károli Gáspár University of the Reformed Church in Hungary, Budapest, Hungary.
Szabolcs BandiDepartment of Psychiatry and Psychotherapy, Medical School, University of Pécs, Pécs, Hungary.
István HartungFaculty of Health Sciences, University of Pécs, Pécs, Hungary.
Imre A TörökKiskunhalas Semmelweis Hospital, University Teaching Hospital, Psychiatry Unit, Kiskunhalas, Hungary.
Julia É VargaDepartment of Psychiatry and Psychotherapy, Medical School, University of Pécs, Pécs, Hungary.
Eszter H SomlaiFaculty of Health Sciences, University of Pécs, Pécs, Hungary.
Robert HeroldDepartment of Psychiatry and Psychotherapy, Medical School, University of Pécs, Pécs, Hungary.
János KállaiInstitute of Behavioral Sciences, Medical School, University of Pécs, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The present study undertook the adaptation and psychometric validation of the Hungarian version of the General Attitudes toward Artificial Intelligence Scale (GAAIS) to assess both positive and negative attitudes toward artificial intelligence (AI) in relation to psychosocial functioning and personality traits. Methods: The adaptation followed international test-adaptation standards, involving translation, back-translation, and expert review. A total of 704 participants (557 women, 144 men) aged 18-60 years (M = 27.8, SD = 10.6) completed the GAAIS together with several validated self-report measures: the Mental Health Continuum-Short Form (MHC-SF), Self-Concept Clarity Scale (SCCS), frequency of AI usage, Problematic Internet Use Questionnaire (PIUQ), and Schizotypal Personality Questionnaire-Brief Revisited (SPQ-BR). Results: The Hungarian version showed solid internal consistency (Cronbach's Conclusion: These findings confirm the reliability and validity of the Hungarian GAAIS and highlight the importance of personality traits in shaping adaptive and maladaptive attitudes toward AI. The results underscore the value of a multidimensional framework for understanding AI attitudes. Adaptive traits were associated with psychological resilience, effective self-regulation, and constructive digital engagement, whereas maladaptive traits were correlated with social anxiety and problematic interactions with the internet and artificial intelligence (AI) technologies. A critical question remains: What outcomes may arise from when individuals hold positive attitudes toward AI but simultaneously experience difficulties with self-integration? This paradox highlights the need for further research into the complex interplay between personality structure and digital adaptation.

Indexed as

artificial intelligenceGeneral Attitudes towards Artificial Intelligence Scalepersonality trait patternsreliabilityvalidity

Identifiers

PMID41323901
PMCPMC12662174

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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.