Artificial intelligence related attitudes

Published: 15 August 2025| Version 1 | DOI: 10.17632/f99k5krsbx.1
Contributor:
Janos Kallai

Description

This study investigates the General Attitude toward Artificial Intelligence Scale usability in graduate and undergraduate populations. The statistical analyses (latent profile analysis) identified four distinct attitude types: skeptical (8.4%), ambivalent (68.6%), undifferentiated (1.3%), and enthusiastic (21.7%). These profiles showed meaningful differences across various psychosocial and personality dimensions. Skeptics displayed elevated schizotypal traits, enthusiasts had lower schizotypy and greater psychological well-being, the ambivalent group was dominated by negative affectivity, and the undifferentiated group demonstrated the highest levels of positive mental health.

Files

Steps to reproduce

the datadase is constructed in SPSS .sav file

Institutions

  • Pecsi Tudomanyegyetem Magatartastudomanyi Intezet

Categories

Artificial General Intelligence

Funders

  • Faculty of Humanities, Károli Gáspár University of the Reformed Church in Hungary
    Grant ID: Grant no. 20815B800

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