Designing a User-Centric AI-Driven Mobile App for Personalized Time Management: Integrating Machine Learning and Design Thinking

Recent advancements in artificial intelligence (AI) have led to the development of innovative personalized intelligent assistants such as Google Home and Siri. Despite these technological strides, the integration of established design frameworks and user experience (UX) principles in user-centric AI applications remains insufficiently explored. This study utilizes the design thinking methodology-emphasizing empathy, ideation, and prototype testing-and existing UX laws to develop ‘TimeSync,’ an AI-based smart time management application university students in Thailand. ‘TimeSync’ employs a machine learning model to customize schedules and alarms by incorporating variables such as preparation time, weather, and traffic conditions, ensuring users arrive on time. Usability testing based on specific user satisfaction and usability metrics revealed that ‘TimeSync’ offers an intuitive interface and enhances user experience, promoting consistent utilization for effective time management. These findings demonstrate the significant potential of design thinking and UX principles in crafting user-centric AI applications, providing valuable insights and a robust framework for future AI development.