Exploring Computational Visual Interfaces for Artificial Intelligence Language Modeling User Experience among College Students: A Rooted Theoretical Approach
Xiang Gao, Yuanchao Zhou · 2024
Artificial Intelligence (AI) is an emerging technology with the aim of developing intelligent applications that have broad applications in various fields such as healthcare, education, and design. AI design research is presently in an exploratory phase, yet its influence on computer vision interfaces for subjective user experience is becoming increasingly significant. Focused on Chinese university students, the research delves into AI user experience, emphasizing NLP, HCI, and SU. Data was collected via surveys and interviews, with deep learning techniques aiding data processing. A substantial volume of user data was gathered through user surveys and in-depth interviews, with deep learning techniques employed for data preprocessing and feature extraction. Results show a preference for personalized services and data mining in interface design, while technical features and operational fluency are priorities in programming. Enhancing HCI design can improve operational efficiency and meet individual needs, bolstered by clear visual interfaces and HCI technologies, thus enhancing overall user experience quality and effectiveness.