Wearable devices are more than ever becoming popular assets in our everyday life. This shift to ubiquity prompted the development of wearables to offer immediate, intelligent, informative support to users according their needs in various scenarios and circumstances. The system discussed here, is envisaged to be deployed in a tourism environment as a personalised suggestion generation that relays information back to the user through an Augmented Reality framework. The implementation explored the use of various techniques in literature namely Rule-based techniques and the use of word ontologies. A series of tests were performed in order to evaluate the system’s personalisation capabilities and its perceived efficiency. The Precision rate obtained was 81%, while Recall and F-Measure stood at 60% and 65% respectively. Future work on this study opens the door for further development of such systems that allow for the development of intelligent wearable devices that can be both more easily accessible useful in increasing accessibility or simply more entertaining.
Wearable technology, Human computation, Tourism
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