DefinePK

Abstract

The study insights at the impact of artificial intelligence (AI) powered interfaces on the user experience in user-computer interaction (HCI) and user experience. The research utilized a mixed-methods sequential explanatory approach and used the AI systems on AI systems on 450 survey respondents and 35 subjects of in-depth interviews. The research aimed to assess the impacts of interfaces, AI voice, interfaces or voice systems, AI chatbots, and AI intelligent recommendation systems on user satisfaction, task performance, perceived usefulness, and behavioral intentions. The review highlighted the positive relation of the sophistication of the AI user interfaces in satisfaction, usefulness, and experience, and regression models suggested that personalization and accuracy of replies to questions were the most significant AI personalization and accuracy of replies to questions were the most significant to satisfaction. The qualitative research trust, change anxieties and apprehensions pertaining to the overly intelligent courtesy of the AI. Users were; indeed, users were able to appreciate the time-saving, efficient, and customizable AI, interfaces systems however, issues of privacy, lack of control of systems, transparency, and dependence on AI worrisome. The findings indicated that the interfaces should not automate all functions, while also giving the users some control, and then informing then the users should be clearly informed what the systems can do and highlight the limitations of the systems. This research adds on to the literature on the favorable impact of the paradigmatic shift artificial intelligence interfaces have on user-computer interaction, and the guidelines on how to interface AI technologies more optimally. The results maintain that future HCI research and development will have to combine user-centered design approaches and the use of AI to augment human decision-making.