User-Centered Sustainable Product Lifecycle Management Platform Design
Abstract
This study proposes Eco Track, a dual-end digital platform designed for sustainable product lifecycle management. The system integrates environmental data provided by enterprises with behavioral data recorded by users, enabling a visualized and interactive management experience across four key product lifecycle stages: production, transportation, usage, and recycling. Employing User-Centered Design (UCD), emotional design, and gamification strategies, the research evaluates the platform’s interaction effectiveness and user acceptance through prototype development and usability testing. Results indicate that data visualization, emotional feedback, and incentive mechanisms significantly enhance users’ awareness of and engagement in sustainable behaviors. This paper establishes a replicable interaction design framework, offering practical design paradigms and methodological references for the development of future green digital platforms.
Keywords: Sustainable Design, Product Lifecycle, User-Centered Design, Environmental Data Visualization, Emotional Design
DOI: 10.54941/ahfe1006074
Cite this paper
More from this volume
- Effects on player perception of jumping extensions with varying trajectories in VR
- Evaluation of Driver Overconfidence in Automotive Driving Using Physiological Data
- Estimation of Intellectual Productivity Using Electrocardiograms during Computational Tasks with Cognitive Load
- Development of a Fast and High-Precision Audio Noise Reduction System to Enhance the Accuracy of Emotion Estimation in Practical Applications
- Real-Time Adaptive Gripping Mechanism Using Object Classification and Feedback Control
- AI-Driven Personalized Multisensory Design of Cultural Heritage: A Case Study of Kunqu Opera
- Exploring Cross-Sensory Perception in Dining Environments: The Role of Tactile Surface Properties on Users’ Visual and Gustatory Experiences
- Consideration of Visibility in the Kuiper Belt Focusing on the Placement of Objects
- Evaluation of UX using Biometric Emotion and Intensity Estimation Machine Learning Models
- Dynamic Balance Ability Estimation Method Using Plantar Pressure Measurement for Developing Shoes to Assess Daily Living Walking Ability
- Gamified Emotional Evaluation of Virtual Architectural Spaces:The G-SOR Framework and “Lost In Reverie”
- Construction of a PointNet-based Autoencoder Using a 3D Scene Dataset for Feature Extraction from Indoor Space Point Clouds Excluding Interior Details


AHFE Open Access