Design for Optimizing Waste Classification and Recycling Practices

Abstract

This study investigates the challenges and opportunities in the domain of garbage classification and recycling, with a specific focus on the campus of Macao University of Science and Technology (M.U.S.T.). Through a multi-faceted approach comprising case analysis, fieldwork, interviews, and a structured questionnaire, the research aims to comprehensively understand the public's perceptions, behaviors, and expectations towards garbage classification software. The findings reveal critical issues in waste management, including location-based inconveniences, operational deficiencies, and user dissatisfaction with existing recycling stations. Moreover, the study highlights the importance of user-centric interaction design in fostering effective waste classification behavior. The research provides valuable insights for the development of tailored waste management solutions for M.U.S.T. and similar educational institutions.