Context-Aware Tourist Guide: A Rule based Approach

Due to the blessing of human computer interaction (HCI) technologies people are experiencing different types of personalized service in their daily life. By this motivation, a context-aware tourist guide system has been designed to enhance user experiences through personalized services. Leveraging smartphone sensors, including GPS for location tracking, accelerometer for mobile gestures, and smartphone time for precise timing, the system effectively gathers and analyzes different contextual data. A rule-based algorithm governs decision-making, allowing the system to provide relevant information tailored to users' interests and preferences. In addition, flexible architecture of rule-based reasoner facilitates the addition of new service rules for seamless expansion. For performance evaluation, a case study is conducted in three different spaces within a university campus that demonstrate the system's accurate location identification and its ability to deliver essential information about places of interest while respecting user privacy. By offering an automated and intelligent tourist guide, the proposed system showcases the transformative impact of technology in various domains, extending its benefits beyond tourism.