In recent years, the focus on sustainability has grown by everyone, including policymakers, companies, and consumers. In this perspective, recycling plays an important role because it allows to reduce the amount of waste to be disposed of, at the same time reducing the need for raw materials. This paper presents ScanBage, a web application designed and developed to support users in separating waste collection. It exploits two machine learning algorithms to automatically classify garbage categories and it employs Gamification elements with the aim of increasing user involvement.
Delnevo G., Aguzzi G., Letizi S., Luffarelli M., Petreti A., Mirri S. (2021). Encouraging users in waste sorting using deep neural networks and gamification. Association for Computing Machinery, Inc [10.1145/3462203.3477056].
Encouraging users in waste sorting using deep neural networks and gamification
Delnevo G.;Aguzzi G.;Letizi S.;Luffarelli M.;Mirri S.
2021
Abstract
In recent years, the focus on sustainability has grown by everyone, including policymakers, companies, and consumers. In this perspective, recycling plays an important role because it allows to reduce the amount of waste to be disposed of, at the same time reducing the need for raw materials. This paper presents ScanBage, a web application designed and developed to support users in separating waste collection. It exploits two machine learning algorithms to automatically classify garbage categories and it employs Gamification elements with the aim of increasing user involvement.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
