Immersive Educational Technology for Waste Management Learning: A Study of Waste Detection and Feedback Delivery in Augmented Reality

Author:

Sun Qiming,Hsiao I-Han,Chien Shih-Yi

Publisher

Springer Nature Switzerland

Reference14 articles.

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2. Containers, P., Good, N.D.: Documentation for greenhouse gas emission and energy factors used in the waste reduction model (warm) (2016)

3. EPA: national overview: facts and figures on materials, wastes and recycling. https://www.epa.gov/facts-and-figures-about-materials-waste-and-recycling/national-overview-facts-and-figures-materials

4. Jacobsen, R.M., Johansen, P.S., Bysted, L.B.L., Skov, M.B.: Waste wizard: exploring waste sorting using AI in public spaces. In: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, pp. 1–11 (2020)

5. Kaza, S., Yao, L., Bhada-Tata, P., Van Woerden, F.: What a waste 2.0: a global snapshot of solid waste management to 2050. World Bank Publications, Washington (2018)

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1. Waste Genie: Learning Environmental Sustainability from Waste Sorting and Interactive Feedback;2023 IEEE Global Humanitarian Technology Conference (GHTC);2023-10-12

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