Shin Youngsoo
Seidenberg School of Computer Science and Information Systems, Pace University, New York City, NY, United States.
JMIR Hum Factors. 2025 Sep 10;12:e69533. doi: 10.2196/69533.
As information and communication technologies and artificial intelligence (AI) become deeply integrated into daily life, the focus on users' digital well-being has grown across academic and industrial fields. However, fragmented perspectives and approaches to digital well-being in AI-powered systems hinder a holistic understanding, leaving researchers and practitioners struggling to design truly human-centered AI systems.
This paper aims to address the fragmentation by synthesizing diverse perspectives and approaches to digital well-being through a systematic literature review. Using the stimulus-organism-response framework as a guiding lens, this study aims to develop a comprehensive model for designing human-centered AI systems that promote digital well-being.
A systematic review of 240 multidisciplinary publications was conducted to explore the intersection of AI, digital well-being, and human-centered design. The analysis involved identifying key themes, frameworks, and approaches, with the stimulus-organism-response model serving as an overarching perspective to organize findings and inform the model development.
The review led to the development of a human-centered artificial intelligence model for digital well-being, a conceptual framework that consolidates current knowledge on designing AI systems to support digital well-being and positively influence human behavior. The proposed model integrates insights from cross-disciplinary research, providing a structured understanding of how AI system features (stimuli) affect users' internal states such as perceptions and emotions (organisms) and lead to attitudinal or behavioral changes (responses). Additionally, this paper highlights emerging challenges and opportunities, including ethical considerations, scalability, and practical guidelines for applying the model in long-term research and practice.
This study contributes to advancing the field by presenting an overarching framework for fostering digital well-being through human-centered AI systems. By addressing gaps in the fragmented literature and proposing a unifying model, the findings offer insights for researchers and practitioners. The human-centered artificial intelligence for digital well-being model serves as a foundation for future exploration and practical application in creating intelligent computing systems that improve users' digital well-being in everyday life.
随着信息通信技术和人工智能（AI）深度融入日常生活，学术和工业领域对用户数字福祉的关注与日俱增。然而，人工智能驱动系统中关于数字福祉的观点和方法零散，阻碍了全面理解，致使研究人员和从业者难以设计出真正以人为本的人工智能系统。
本文旨在通过系统的文献综述，综合各种关于数字福祉的观点和方法，以解决零散问题。本研究以刺激—机体—反应框架为指导视角，旨在开发一个全面的模型，用于设计促进数字福祉的以人为本的人工智能系统。
对240篇多学科出版物进行系统综述，以探索人工智能、数字福祉和以人为本设计的交叉点。分析包括识别关键主题、框架和方法，刺激—机体—反应模型作为总体视角来组织研究结果并为模型开发提供信息。
该综述促成了一个用于数字福祉的以人为本的人工智能模型的开发，这是一个概念框架，整合了当前关于设计支持数字福祉并积极影响人类行为的人工智能系统的知识。所提出的模型整合了跨学科研究的见解，提供了关于人工智能系统特征（刺激）如何影响用户的内部状态（如感知和情绪，即机体）并导致态度或行为变化（反应）的结构化理解。此外，本文还强调了新出现的挑战和机遇，包括伦理考量、可扩展性以及在长期研究和实践中应用该模型的实用指南。
本研究通过提出一个通过以人为本的人工智能系统促进数字福祉的总体框架，为该领域的发展做出了贡献。通过弥补零散文献中的差距并提出一个统一模型，研究结果为研究人员和从业者提供了见解。用于数字福祉的以人为本的人工智能模型为未来探索和实际应用奠定了基础，以创建在日常生活中改善用户数字福祉的智能计算系统。
