Culturally Aware AI Interfaces: Rethinking Human-Computer Interaction in Multilingual and Diverse Contexts at University level

Abstract

The swift development of Artificial Intelligence (AI) is changing Human–Computer Interaction (HCI) by altering how people interact with language, culture, and digital communication in addition to bringing about technological innovation. The emphasis on multilingual and culturally diverse contexts rethinks the future of HCI through the lens of AI-powered interfaces.  The study employed mixed-methods research design. The study uses stratified sampling technique that consisted of 15 University experts and 200 respondents, whereas in qualitative part interviews were conducted from students and faculty who frequently use AI-powered learning and whereas in quantitative part a survey conducted which analysis offers both comprehensive and in-depth insights into cultural adaptability, ethical issues, and user experience in AI-driven HCI. The data were examined using T-tests and ANOVA to investigate demographic differences. Thematic analysis was applied to qualitative data to find recurrent themes pertaining to policy readiness, cultural adaptation, and ethical issues. Moreover, the study investigates the ways in which technologies like intelligent feedback systems, machine learning, and natural language processing affect user experience by facilitating context-aware, personalized communication. Three human-centered aspects of AI-driven HCI engagement, accessibility, and adaptability are at the heart of the conversation. Furthermore, the linguistically diverse areas like Pakistan, the paper emphasizes how bilingual communication, particularly in English and Urdu, can improve digital inclusivity. The AI interfaces that are not only technologically sophisticated but also culturally aware, linguistically inclusive, and considerate of human communication practices are essential to the future of human-computer interaction (HCI).