Abstract
Garbage classification has been implemented abroad for a long time, but for China, it is still in the initial stage of consciousness germination. This paper is aiming to build an intelligent garbage classified system to solve the problem of garbage sorting for Chinese users and improve the user experience. According to user research and market research, we found that due to the lack of correct classification knowledge guidance, the process of garbage sorting made users feel troubled. The trash cans in current market generally do not have the intelligent function of garbage classification. In order to simplify the process of garbage disposal and popularize the classification knowledge, we put forward the concept of intelligent classified trash can with deep learning-based image recognition and speech recognition classification system and a supporting smart application to help users achieve green smart home life. Finally, we invited 16 users to carries out the usability test and optimized the prototype of intelligent trash can hoping to bring users a better experience of garbage classification.
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Zhang, N., Wu, Y., Kong, Y., Lv, J. (2021). Research on Intelligent Classified Trash Can and Smart Application Design—Achieving Green Smart Home Living in China. In: Soares, M.M., Rosenzweig, E., Marcus, A. (eds) Design, User Experience, and Usability: Design for Diversity, Well-being, and Social Development. HCII 2021. Lecture Notes in Computer Science(), vol 12780. Springer, Cham. https://doi.org/10.1007/978-3-030-78224-5_12
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DOI: https://doi.org/10.1007/978-3-030-78224-5_12
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