The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context

This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligence Scale (GAAIS). In study 1 (N = 236 adults) confirmatory factor analysis (CFA) was conducted to examine the factorial structure of the scale. Study 2 (N = 177) assessed the concurrent and predictive validity of GAAIS. Concurrent validity was examined by correlating positive and negative attitude scores toward AI with another measure of attitude toward AI. Predictive validity was assessed by measuring the predictive ability of attitude on intention to use AI. The findings support the two-factor model, including for this Italian version of the scale consistent with the original one (Study 1). Moreover, positive attitudes towards artificial intelligence, as measured by the GAAIS positive factor, were positively correlated with general attitudes towards the use of AI, while the negative factor showed a significant negative correlation with the same general attitudes (Study 2). Then, the Italian version of the GAAIS can be considered as a valid tool for assessing people orientations towards artificial intelligence in the context analyzed, confirming the relevance of studying attitudes and its measurement towards artificial intelligence in different cultural contexts. This measure which relates to a strong psychosocial perspective, may support future research to deepen the understanding of the factors influencing attitudes towards AI as well as to develop more effective communication and training program interventions, being this a very crucial topic in actual society.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2025-07-01
DOI
https://doi.org/10.1186/s40359-025-02935-2
Citations
7
Primary Topic
Cognitive Abilities and Testing
Type
article
Field-Weighted Citation Impact
14.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context

Andrea Zammitti, A. Russo, Giovanni Di Stefano, Lavinia Cicero
7 citations
BMC Psychology
Cognitive Abilities and Testing
14.83
article

The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context

Andrea Zammitti, A. Russo, Giovanni Di Stefano, Lavinia Cicero
article en
7 citations

Abstract

This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligence Scale (GAAIS). In study 1 (N = 236 adults) confirmatory factor analysis (CFA) was conducted to examine the factorial structure of the scale. Study 2 (N = 177) assessed the concurrent and predictive validity of GAAIS. Concurrent validity was examined by correlating positive and negative attitude scores toward AI with another measure of attitude toward AI. Predictive validity was assessed by measuring the predictive ability of attitude on intention to use AI. The findings support the two-factor model, including for this Italian version of the scale consistent with the original one (Study 1). Moreover, positive attitudes towards artificial intelligence, as measured by the GAAIS positive factor, were positively correlated with general attitudes towards the use of AI, while the negative factor showed a significant negative correlation with the same general attitudes (Study 2). Then, the Italian version of the GAAIS can be considered as a valid tool for assessing people orientations towards artificial intelligence in the context analyzed, confirming the relevance of studying attitudes and its measurement towards artificial intelligence in different cultural contexts. This measure which relates to a strong psychosocial perspective, may support future research to deepen the understanding of the factors influencing attitudes towards AI as well as to develop more effective communication and training program interventions, being this a very crucial topic in actual society.

BMC PsychologyVol. 13(1)
Università degli Studi eCampus (IT), University of Catania (IT), University of Palermo (IT)
Openalex Percentile: Top 1%
Cognitive Abilities and Testing
14.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.