Faced with the continuous evolution of digitalization and the increasingly serious aging challenge, digital travel services have become a hot topic for age-friendly research. Travel-related mobile end products have achieved efficient and fast travel services by integrating Internet of Things (IoT) technology, but for senior users, they still face digital barriers such as complex operation, high learning cost, weak service trust, insufficient emotional care, and insufficient ability and confidence to use such products independently for travel. In response to this, this study uses the theoretical method of the Censydiam model and employs interview, literature analysis, and questionnaire survey methods to conduct in-depth research on senior users, exploring their emotional needs and behavior patterns when using travel-related mobile end products, thereby extracting interest tags for senior users using travel-related mobile end products. Based on the Censydiam model, a user interest-emotion insight table is drawn to obtain user insights, further establishing user demand content and emotional experience building points. Finally, the study optimizes travel-related mobile end products for the elderly, focusing on design improvements that help senior users efficiently edit their travel routes before travel, provide them with clear information on the progress and cost of their trip during travel, introduce the “travel circle” function point to provide them with rich travel scenarios and social interactions, and provide online tutorials to help senior users learn how to use travel-related mobile end products. This study provides design ideas and reference basis for travel-related mobile end products designed for senior users.