VISIT: Virtual Intelligent System for Informing Tourists
Kevin Meehan, Aiden McCaughey, TF Lunney, Kevin J Curran · 2012
Abstract – In recent years ‘smartphone ’ devices are becoming increasingly aware of their surroundings using sensors to detect a user’s current context. Due to this increase in the use of sensors, there is currently a lot of potential for developing context-aware mobile applications. One of the key uses of sensor data in context-aware applications is determining location, as this can greatly improve the potential functionality available to the user. However, there are other types of context that can be determined when developing these applications. For example time, weather and even the person using the device. An activity that can be significantly improved with the introduction of context is mobile tourism. Traditional mobile tourism applications depend heavily on location, and for the most part ignore other types of context. This can lead to the delivery of irrelevant information to the user as there is a lack of adequate content filtering. If the user is inundated with irrelevant or only partially relevant material, this can lead to information overload. Using additional context data can assist these applications in reducing information overload. However, it is important to include an appropriate level of personalisation when performing content filtering to ensure the delivery of key focused information.