Nudgegreen Leveraging AI, UX Design, And Behavioral Science to Promote Sustainable Practices in US Communities
Abstract
This study explored the potential of Nudgegreen, a theoretical digital platform that integrated artificial intelligence (AI), user experience (UX) design, and behavioral science to promote sustainable practices in diverse US communities. The pressing challenge is how entrenched habits, such as the overconsumption of energy and poor waste management, can be innovatively solved to bridge the gap between environmental concerns and community action. Based on a theoretical empirical design, agent-based simulations are used to model different types of communities: urban, suburban, and rural. The impact of personalized, tailored nudges along with intuitive UX designs on sustainable behaviors is then estimated. Key findings highlighted the significance of community-specific contextual considerations. Although AI-based nudges lead to the establishment of greener consumer behaviors, they also highlight the challenges of ethical consideration, equity, and the issue of the rebound effect. With respect to this issue of addressing these problems, the following recommendations were taken into consideration: the issue of transparency, access to underserved communities even when disconnected from devices, and long-term studies being conducted on the application of nudges were emphasized. Addressing these critical areas, NudgeGreen could ensure that changes in individual behaviors would translate into community benefits, ensuring enduring, sustainable practices in diverse American landscapes.
Citations
IRE Journals:
Emmanuel Adegbe "Nudgegreen Leveraging AI, UX Design, And Behavioral Science to Promote Sustainable Practices in US Communities" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 2810-2814 https://doi.org/10.64388/IREV9I5-1715198
IEEE:
Emmanuel Adegbe
"Nudgegreen Leveraging AI, UX Design, And Behavioral Science to Promote Sustainable Practices in US Communities" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1715198
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