Toward Human-Centered Artificial Intelligence for Users' Digital Well-Being: Systematic Review, Synthesis, and Future...

Area of Science:

• Human-Computer Interaction
• Artificial Intelligence Ethics
• Digital Well-being Research

Background:

• Information and communication technologies and AI are increasingly integrated into daily life.
• Growing focus on digital well-being across academic and industrial fields.
• Fragmented perspectives on digital well-being in AI hinder human-centered design.

Purpose of the Study:

• Synthesize diverse perspectives on digital well-being through a systematic literature review.
• Develop a comprehensive model for human-centered AI systems promoting digital well-being.
• Utilize the stimulus-organism-response framework to guide model development.

Main Methods:

• Systematic review of 240 multidisciplinary publications.
• Exploration of the intersection of AI, digital well-being, and human-centered design.
• Identification of key themes, frameworks, and approaches using the stimulus-organism-response model.

Main Results:

• Development of a human-centered artificial intelligence (AI) model for digital well-being.
• Conceptual framework consolidating knowledge on designing AI to support digital well-being and influence behavior.
• Integration of cross-disciplinary insights on how AI features (stimuli) affect user states (organisms) and lead to changes (responses).

Conclusions:

• Presents an overarching framework for fostering digital well-being via human-centered AI systems.
• Addresses fragmented literature by proposing a unifying model for researchers and practitioners.
• The human-centered AI for digital well-being model provides a foundation for future research and practical applications.