Consumer Segments Based on Attitudes Towards Artificial Intelligence Cover Image

Fogyasztói szegmensek a mesterséges intelligenciával kapcsolatos attitűd alapján
Consumer Segments Based on Attitudes Towards Artificial Intelligence

Author(s): László Molnár, Kata Horváth
Subject(s): Business Economy / Management, Human Resources in Economy, ICT Information and Communications Technologies, Artificial Intelligence
Published by: Pécsi Tudományegyetem
Keywords: artificial intelligence; attitude; segments; demographic characteristics;

Summary/Abstract: Artificial Intelligence is fundamentally transforming various aspects of our everyday lives, its wideranging socio-economic impacts directly influence individual attitudes towards the technology and thereby shape the collective stance of society as well. Investigating attitudes is primarily justified by the need to facilitate technology acceptance, which is a cornerstone of the successful implementation of AI-based innovations. The present research seeks to explore the residential attitudes towards AI, aiming to identify and characterise distinct attitude-based clusters based on demographic characteristics, personality traits and areas of interest. The data collection was carried out in the form of an online questionnaire by integrating two validated scales. To explore attitudes and identify attitude segments, we applied the General Attitudes Towards Artificial Intelligence Scale (GAAIS), while dominant personality traits were measured using the Ten-Item Personality Inventory (TIPI). The target group of the research consisted of residents of Borsod-Abaúj-Zemplén County aged between 18 and 65. The total sample comprised 520 individuals, representing the population by gender and age. During the analysis, three clusters were identified: AI-sceptics, AI-neutrals, and AI-supporters. From a demographic perspective, age, standard of living, and the number of children proved to be significant cluster characteristics. In terms of personality traits, the dimensions of extraversion and openness stood out, while in the field of interests, technological orientation was identified as the main characteristic. The results support, among other things, the targeted development of AI-driven social innovations and the minimization of risks arising from potential rejection or resistance. We propose the design of unique engagement initiatives that simultaneously address the concerns of AI-sceptics and leverage the enthusiasm of AI-supporters in order to promote the broader acceptance of AI technologies.

  • Issue Year: 60/2026
  • Issue No: 2
  • Page Range: 16-33
  • Page Count: 18
  • Language: Hungarian
Toggle Accessibility Mode