AI-based User Experience Evaluation using Biological Data
Prof. Dr. Nobuyuki Nishiuchi
Tokyo Metropolitan University, Japan
Abstract
Usability and user experience (UX) have been important factors on the design for products, systems, and services. The evaluation methods used to assess the current usability and UX factors are interview and questionnaires. These methods are based on the subjective approach; therefore, certain limitations were encountered. It was challenging to gather data on usability or UX for a long duration, and the quality of evaluation depends on the skill of the evaluator. To address these challenges, our research team has been studying objective usability and UX evaluation methods based on biological dada, such as eye movement, facial expression, or body movement during the operations of the target products or services, including virtual reality content. By leveraging artificial intelligence (AI), we aim to predict the user's state, providing valuable insights for the evaluation and improvement of products or services. During the keynote, I will present the basic idea and specific experiments conducted using the proposed method.
Biography
Nobuyuki Nishiuchi received his Ph.D. degree in engineering from Yokohama National University, Japan, in 2004. He is currently a Professor in the Department of Computer Science at the Faculty of Systems Design, Tokyo Metropolitan University. His main research fields include human-computer interaction, usability, user experience, image processing, ergonomics, and biometrics. He is a member of IEEE and serves as an Associate Editor of International Journal of Biometrics with Inderscience Publishers. Additionally, he has served as a member of the International Program Committee for international conferences such as ICBAKE and CISIM.
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