EcoCycle as A Comprehensive UX Design Approach for AI-Driven Recycling and Sustainability Platforms in US Communities
Abstract
Recycling and sustainability models powered by AI are becoming popular among communities in the United States in response to growing challenges in waste management. Many of these systems have low adoption, limited user engagement, and a lack of trust among the masses, often due to poor user experience design. The proposed research is EcoCycle, a conceptual framework for UX design utilizing artificial intelligence, behavioral psychology, and community-based sustainability to develop useful, inclusive recycling systems. With reference to human-centered design, explainable AI, and environmental behavior theories, the conceptualization of sustainability platforms presented by EcoCycle views them as cyclical systems in which user engagement, artificial intelligence, and environmental feedback sustain one another. The framework focuses on transparency, empowerment, inclusiveness, and ethical AI implementation, and makes UX design a core tool for cultivating trust and long-lasting engagement. The study uses a conceptual use case to explain how EcoCycle can achieve better recycling accuracy, increased user retention, and greater community engagement. The paper introduces a new UX-focused approach to the design of AI-powered sustainability technologies and provides designers, policymakers, and practitioners with practical advice. Through the harmonization of AI potential, human experience, and environmental objectives, EcoCycle is a step in the right direction toward holistically designing sustainable technology.
Keywords
User Experience (UX) Design; Artificial Intelligence; Sustainable Technology; Recycling Systems; Human-Centered Design; Behavioral Change; Community Sustainability; Environmental Engagement.
Citations
IRE Journals:
Emmanuel Adegbe "EcoCycle as A Comprehensive UX Design Approach for AI-Driven Recycling and Sustainability Platforms in US Communities" Iconic Research And Engineering Journals Volume 7 Issue 7 2024 Page 818-824 https://doi.org/10.64388/IREV7I7-1715196
IEEE:
Emmanuel Adegbe
"EcoCycle as A Comprehensive UX Design Approach for AI-Driven Recycling and Sustainability Platforms in US Communities" Iconic Research And Engineering Journals, 7(7) https://doi.org/10.64388/IREV7I7-1715196
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