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Encouraging users in waste sorting using deep neural networks and gamification

Authors:

Giovanni Delnevo,

Gianluca Aguzzi,

Marta Luffarelli,

Andrea Petreti,

Silvia MirriAuthors Info & Claims

GoodIT '21: Proceedings of the Conference on Information Technology for Social Good

Pages 230 - 235

https://doi.org/10.1145/3462203.3477056

Published: 09 September 2021 Publication History

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.

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Cited By

Pang FGrace RKropczynski J(2024)From Seed to Compost: A Systematic Review of the Impact of Digital Technologies Across the Community Food System LifecycleProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685396(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685396
Sun QHsiao I(2024)An AI-infused Educational Technology to Cultivate Self-directed Learning in Sustainable Waste ManagementProceedings of the 2024 International Conference on Information Technology for Social Good10.1145/3677525.3678652(127-134)Online publication date: 4-Sep-2024
https://dl.acm.org/doi/10.1145/3677525.3678652
Xu HTang WLi ZQin KZou J(2024)Multimodal Dual Cross-Attention Fusion Strategy for Autonomous Garbage Classification SystemIEEE Transactions on Industrial Informatics10.1109/TII.2024.343550820:11(13319-13329)Online publication date: Nov-2024
https://doi.org/10.1109/TII.2024.3435508
Show More Cited By

Index Terms

Encouraging users in waste sorting using deep neural networks and gamification
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

GoodIT '21: Proceedings of the Conference on Information Technology for Social Good

September 2021

345 pages

ISBN:9781450384780

DOI:10.1145/3462203

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 09 September 2021

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GoodIT '21

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GoodIT '21: Conference on Information Technology for Social Good

September 9 - 11, 2021

Roma, Italy

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Cited By

Pang FGrace RKropczynski J(2024)From Seed to Compost: A Systematic Review of the Impact of Digital Technologies Across the Community Food System LifecycleProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685396(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685396
Sun QHsiao I(2024)An AI-infused Educational Technology to Cultivate Self-directed Learning in Sustainable Waste ManagementProceedings of the 2024 International Conference on Information Technology for Social Good10.1145/3677525.3678652(127-134)Online publication date: 4-Sep-2024
https://dl.acm.org/doi/10.1145/3677525.3678652
Xu HTang WLi ZQin KZou J(2024)Multimodal Dual Cross-Attention Fusion Strategy for Autonomous Garbage Classification SystemIEEE Transactions on Industrial Informatics10.1109/TII.2024.343550820:11(13319-13329)Online publication date: Nov-2024
https://doi.org/10.1109/TII.2024.3435508
Sun QHsiao I(2024)Serious Practices for Interactive Waste Sorting Mini-gameSerious Games10.1007/978-3-031-74138-8_11(134-141)Online publication date: 31-Oct-2024
https://doi.org/10.1007/978-3-031-74138-8_11
Wulansari ASetyanto ALuthfi E(2022)A Convolutional Neural Network Based on Transfer Learning for Medical Waste Classification During Pandemic Covid-192022 International Seminar on Intelligent Technology and Its Applications (ISITIA)10.1109/ISITIA56226.2022.9855374(86-91)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ISITIA56226.2022.9855374

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