" In search of light": enhancing touristic recommender services with local weather data

Dionisio, Mara; Paulino, Teresa; Suri, Trisha; Autzen, Nicolas; Schöning, Johannes

http://hdl.handle.net/10400.13/5726

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Abstract(s)

Many destinations’ economies strongly rely on tourism. Therefore, it is crucial to meet tourists’ expectations, so they will return to the destination. The geographical formation of certain touristic islands often leads to local climates where it can be rainy and windy on one side of the island, whereas the other part is sunny. In this paper, we present a novel use for a network of sensors, LightBeam, a mobile location-based application aiming to improve the tourists’ experience. The application focuses on providing real-time guidance for tourists seeking sunlight to maximize their holiday experience by suggesting the closest points of interest (POIs) to the user with the “best sunlight”. To achieve this, we implemented and installed a network of geospatial sensors. The data from the sensor network is combined with the current location of the users to provide recommendations. We report on the initial design and prototype of LightBeam.

Keywords

Weather application Mobile application Tourism User experience . Faculdade de Ciências Exatas e da Engenharia

URI

http://hdl.handle.net/10400.13/5726

Citation

Dionisio, M., Paulino, T., Suri, T., Autzen, N., & Schöning, J. (2017, September). " In search of light" enhancing touristic recommender services with local weather data. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-8).