Mobile Sightseeing and Learning Navigation System Using Adaptive Testing

Abstract

This study proposes a sightseeing and learning navigation mobile system using adaptive testing. The unique features of the system are as follows: (1) Navigation function guides a user to sightseeing spots with GPS and compass. (2) Adaptive testing function provides items concerning sightseeing spots and helps to focus a user’s viewpoint to the tourist attractions points. The system predicts the user’s knowledge level about the tourist attractions, and presents the test items that maximize the amount of information based on Item Response Theory (IRT). This study shows that the tourist are interest in knowledge for which item has a high IRT information value. Evaluation experiments confirm the effectiveness of the system.