Travel app improves suggestions by understanding user context better
Travel Package Booking Application with API Bot
Human-Computer Interaction
Summary
People using travel apps often want helpful suggestions tailored to their specific situation, like where they are and what they like. The authors show that by designing an app that considers a user's mental, social, and physical environment, the app can give better, more personal recommendations. Their app adjusts its interface and advice based on this context, making the travel experience more satisfying compared to apps that don’t use this approach. This type of design is called context-aware computing.
Context-aware computingRecommendation systemsUser interface designMobile applicationsPersonalizationTourism technologyUser contextInteractive systems
Authors
K Sai Karthik, CH Naveen Aaditya, Ravi Kiran, Swarnalatha P
Abstract
These days we are witnessing many mobile applications based on the recommended systems, which have become a great technology which is been used by the various mobile applications according to the situation. Recommendation provided by the mobile application is a key element for the person who is traveling to several places. For any tourist information application contextual information is much needed to guide the user on his interests this can be achieved by the Context-aware computing. Which provides the user most interactive system with the suggestions provided by it based on the input from the user in a certain location, here context includes the user's mental, social, physical environments. To achieve this contextual information, we will design and implement the context-aware user interface based on the user for which we have to study the user and design a rich user interface. The final outcome for which users have the satisfaction when using context-aware functionality will be much better than non-context-aware application.