Asthma is a complex disease caused by genetic and environmental factors, affecting 235 million people worldwide. The effects of chronic respiratory diseases, such as asthma and respiratory ailments, can be particularly aggressive in islands, due to the optimal climate conditions and the rich nature and flora. Conceived as a case study on Madeira island, we applied user-driven innovation strategy to inform the design of a mobile app able to assist the users in tracking asthma symptoms through an intuitive interface and a smart analog button, providing real-time personalized recommendations. The app is the result of a workshop conducted with 28 17-year-old students from Madeira. The workshop goal was to involve users in thinking about how to exploit data about air quality and weather conditions collected by a pervasive low-cost infrastructure spreads across the island.

Prandi, C., Nisi, V., Villaflor, R.J., Liao, S., Best, B., Gavina, V., et al. (2018). On designing a way-finding system to assist users with respiratory ailments and track symptoms. Association for Computing Machinery, Inc [10.1145/3236112.3236119].

On designing a way-finding system to assist users with respiratory ailments and track symptoms

Prandi, Catia;
2018

Abstract

Asthma is a complex disease caused by genetic and environmental factors, affecting 235 million people worldwide. The effects of chronic respiratory diseases, such as asthma and respiratory ailments, can be particularly aggressive in islands, due to the optimal climate conditions and the rich nature and flora. Conceived as a case study on Madeira island, we applied user-driven innovation strategy to inform the design of a mobile app able to assist the users in tracking asthma symptoms through an intuitive interface and a smart analog button, providing real-time personalized recommendations. The app is the result of a workshop conducted with 28 17-year-old students from Madeira. The workshop goal was to involve users in thinking about how to exploit data about air quality and weather conditions collected by a pervasive low-cost infrastructure spreads across the island.
2018
MobileHCI 2018 - Beyond Mobile: The Next 20 Years - 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Conference Proceedings Adjunct
47
54
Prandi, C., Nisi, V., Villaflor, R.J., Liao, S., Best, B., Gavina, V., et al. (2018). On designing a way-finding system to assist users with respiratory ailments and track symptoms. Association for Computing Machinery, Inc [10.1145/3236112.3236119].
Prandi, Catia; Nisi, Valentina; Villaflor, R.J.; Liao, Stephanie; Best, Bria; Gavina, Victor; Nunes, Nuno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/664649
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