PERSONALITY TRAITS AS FACTORS OF USER EXPERIENCE DURING INTERACTION WITH AI-CHATBOT

Eduard Krainikov; Valentyn Kurchenko-Hay

doi:10.48020/mppj.2026.01.04

Eduard Krainikov Kyiv Institute of Modern Psychology and Psychotherapy; Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Valentyn Kurchenko-Hay Kyiv Institute of Modern Psychology and Psychotherapy (KIMPP), Kyiv, Ukraine

DOI: https://doi.org/10.48020/mppj.2026.01.04

Keywords: Personality Traits, Big Five, Chatbots, Human-Computer Interaction (HCI), User Experience (UX), Artificial Intelligence (AI), User Satisfaction, Psychology of Technology

Abstract

A study was conducted on 40 Ukrainian migrants aged 18–55 who actively used the Engly.io platform. Personality traits were measured using TIPI-UKR, and user experience was assessed using satisfaction, trust, engagement, and perceived effectiveness indicators. A significant correlation was found between extraversion and engagement in interaction with an AI chatbot (r=0.35, p=0.027), as well as a negative correlation of age with perceived learning effectiveness (r=−0.41, p=0.008). Other predicted relationships between personality traits and user experience indicators were not statistically confirmed. The results indicate limited predictive value of personality traits in shaping the experience of interacting with educational AI chatbots.