The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service
๐ค AI Summary
This work addresses the prevailing issue in current digital platforms, which prioritize their own metrics over genuine user needs, often to the detriment of user interests. It proposes โuser-centric agentsโ as a paradigm for next-generation digital services, presenting the first systematic framework for intelligent agents driven by user goals, safeguarding privacy, and granting users full control. By integrating large language models with on-device intelligence, the authors design an edge-cloudๅๅ architecture complemented by governance mechanisms and an ecosystem framework. The study not only demonstrates the feasibility of user-centric agents but also provides a comprehensive technical pathway toward digital services fundamentally aligned with user well-being.
Application Category
๐ Abstract
Modern digital services have evolved into indispensable tools, driving the present large-scale information systems. Yet, the prevailing platform-centric model, where services are optimized for platform-driven metrics such as engagement and conversion, often fails to align with users' true needs. While platform technologies have advanced significantly-especially with the integration of large language models (LLMs)-we argue that improvements in platform service quality do not necessarily translate to genuine user benefit. Instead, platform-centric services prioritize provider objectives over user welfare, resulting in conflicts against user interests. This paper argues that the future of digital services should shift from a platform-centric to a user-centric agent. These user-centric agents prioritize privacy, align with user-defined goals, and grant users control over their preferences and actions. With advancements in LLMs and on-device intelligence, the realization of this vision is now feasible. This paper explores the opportunities and challenges in transitioning to user-centric intelligence, presents a practical device-cloud pipeline for its implementation, and discusses the necessary governance and ecosystem structures for its adoption.
Problem
Research questions and friction points this paper is trying to address.
user-centric
platform-centric
digital services
user welfare
LLMs
Innovation
Methods, ideas, or system contributions that make the work stand out.
user-centric agent
on-device intelligence
large language models
device-cloud pipeline
digital service paradigm
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