This research examines individual differences in readiness for artificial intelligence (AI). Across two studies, we developed and validated an Artificial Intelligence Readiness Scale and investigated its psychological correlates. Study 1 focused on scale construction and demonstrated satisfactory internal reliability and validity. Study 2 examined associations between AI readiness, a DISC-based behavioural style assessment (PPA), personality (HPTI), trait emotional intelligence (TEIQue), and cognitive ability (GIA). Correlational analyses indicated that AI readiness was related to both personality and intelligence; however, regression analyses showed that Curiosity (Openness) and Competitiveness (low Agreeableness) were the most consistent predictors. Implications of these findings are discussed.
Bond, T. G., Yan, Z., & Heene, M. (2020). Applying the Rasch Model : Fundamental Measurement in the Human Sciences (4th ed.). Routledge. https://doi.org/10.4324/9780429030499
Chen, F., Curran, P. J., Bollen, K. A., Kirby, J., & Paxton, P. (2008). An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models. Sociological Methods & Research , 36 , 462-494. https://doi.org/10.1177/0049124108314720
Cuppello, S., Treglown, L., & Furnham, A. (2023a). Personality and Management Level: Traits That Get You to the Top. Personality and Individual Differences , 206 , Article ID: 112108. https://doi.org/10.1016/j.paid.2023.112108
Cuppello, S., Treglown, L., & Furnham, A. (2023b). Intelligence, Personality and Tolerance of Ambiguity. Journal of Intelligence , 11 , Article No. 102. https://doi.org/10.3390/jintelligence11060102
Furnham, A., & Semmelink, D. S. (2026). Self-Assessed Intelligence Is a Self-Esteem Variable, Not a Test Proxy Measure: The Relationship between Personality, Self-Estimated and Test-Derived Intelligence. Personality and Individual Differences , 248 , Article ID: 113457. https://doi.org/10.1016/j.paid.2025.113457
Furnham, A., & Treglown, L. (2018). High Potential Personality and Intelligence. Personality and Individual Differences , 128 , 81-87. https://doi.org/10.1016/j.paid.2018.02.025
Gherheş, V. (2018). Why Are We Afraid of Artificial Intelligence (AI)? European Review of Applied Sociology , 11 , 6-15. https://doi.org/10.1515/eras-2018-0006
Hu, L., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling: A Multidisciplinary Journal , 6 , 1-55. https://doi.org/10.1080/10705519909540118
Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024). The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. International Journal of Human - Computer Interaction , 40 , 497-514. https://doi.org/10.1080/10447318.2022.2151730
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2014). The Performance of RMSEA in Models with Small Degrees of Freedom. Sociological Methods & Research , 44 , 486-507. https://doi.org/10.1177/0049124114543236
Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press.
Kyriazos, T., & Poga-Kyriazou, M. (2023). Applied Psychometrics: Estimator Considerations in Commonly Encountered Conditions in CFA, SEM, and EFA Practice. Psychology , 14 , 799-828. https://doi.org/10.4236/psych.2023.145043
Li, C.-H. (2016). Confirmatory Factor Analysis with Ordinal Data: Comparing Robust Maximum Likelihood and Diagonally Weighted Least Squares. Behavior Research Methods , 48 , 936-949. https://doi.org/10.3758/s13428-015-0619-7
Liang, H., Mao, X., & Reiss, M. J. (2025). Personality Traits Measured by the HEXACO Personality Inventory and the Dark Triad Predict University Students’ Attitudes and Misconduct Behaviors Related to Generative Artificial Intelligence. Scientific Reports , 15 , Article No. 41787. https://doi.org/10.1038/s41598-025-25744-4
Lynn, T., Muzellec, L., Caemmerer, B., & Turley, D. (2017). Social Network Sites: Early Adopters’ Personality and Influence. Journal of Product & Brand Management , 26 , 42-51. https://doi.org/10.1108/jpbm-10-2015-1025
MacRae, I., & Furnham, A. (2020). A Psychometric Analysis of the High Potential Trait Inventory (HPTI). Psychology , 11 , 1125-1140. https://doi.org/10.4236/psych.2020.118074
Marston, W. H., King, C. D., & Marston, E. H. (1931). Integrative Psychology; a Study of Unit Response . Harcourt, Brace.
Marston, W. M. (1928). Emotions of Normal People . Harcourt, Brace Routledge.
Menon, D., & Shilpa, K. (2023). “Chatting with ChatGPT”: Analyzing the Factors Influencing Users’ Intention to Use the Open AI’s ChatGPT Using the UTAUT Model. Heliyon , 9 , e20962. https://doi.org/10.1016/j.heliyon.2023.e20962
Ozbey, F., & Yasa, Y. (2025). The Relationships of Personality Traits on Perceptions and Attitudes of Dentistry Students towards AI. BMC Medical Education , 25 , Article No. 26. https://doi.org/10.1186/s12909-024-06630-5
Petrides, K. V. (2012). Technical Manual for the Trait Emotional Intelligence Questionnaires ( TEIQue ) . London Psychometric Laboratory.
Rhee, C. S., & Rhee, H. (2019). Expectations and Anxieties Affecting Attitudes toward Artificial Intelligence Revolution. Journal of the Korea Contents Association , 19 , 37-46.
Schepman, A., & Rodway, P. (2020). Initial Validation of the General Attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports , 1 , Article ID: 100014. https://doi.org/10.1016/j.chbr.2020.100014
Stein, J. P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024). Attitudes towards AI: Measurement and Associations with Personality. Scientific Reports , 14 , Article No. 2909. https://doi.org/10.1038/s41598-024-53335-2
Teodorescu, A., Furnham, A., & MacRae, I. (2017). Trait Correlates of Success at Work. International Journal of Selection and Assessment , 25 , 36-42. https://doi.org/10.1111/ijsa.12158
Thomas (2024a). Personal Profile Analysis (PPA): Technical Manual . Thomas.
Thomas (2024b). General Intelligence Assessment (GIA): Technical Manual . Thomas.
Treglown, L., & Furnham, A. (2022). Age, Sex, Education, Emotional Intelligence, Cognitive Intelligence, and Management Level: A Study from Great Britain. Journal of General Management , 48 , 320-329. https://doi.org/10.1177/03063070221107128
Treglown, L., & Furnham, A. (2023). Are EQ and IQ Negatively Related? The Relationship between Trait Emotional Intelligence and Fluid Cognitive Ability. Psychology , 14 , 1136-1151. https://doi.org/10.4236/psych.2023.147062
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The Unified Theory of Acceptance and Use of Technology (UTAUT): A Literature Review. Journal of Enterprise Information Mana gement , 28 , 443-488. https://doi.org/10.1108/jeim-09-2014-0088
Yadegari, M., Mohammadi, S., & Masoumi, A. H. (2024). Technology Adoption: An Analysis of the Major Models and Theories. Technology Analysis & Strategic Management , 36 , 1096-1110. https://doi.org/10.1080/09537325.2022.2071255