Dynamic PGA: A Human-Centered Framework for Continuously Adaptive AI Experiences

Dynamic Personalized Guidance Architecture (Dynamic PGA) is a human-centered conceptual framework for continuously adaptive AI experiences. The framework explores how artificial intelligence might adapt not only to an individual's longer-range goals, interests, knowledge, and preferences, but also to meaningful changes that occur as an experience unfolds. The paper introduces a developing Dynamic A/B model: Dynamic A provides adaptive direction around the individual's goals and intended destination, while Dynamic B introduces state-aware responsiveness to the individual's immediate circumstances. Together, they express a central principle of the framework: A remembers the destination. B respects the human being who has to get there. Version 1.0 explores potential applications in education, experiential travel, professional environments, healthcare communication, and creative work, while emphasizing human agency, privacy, appropriate boundaries, and future research and validation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23794669
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic PGA: A Human-Centered Framework for Continuously Adaptive AI Experiences

Raymond Chan
3 links
Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

Dynamic PGA: A Human-Centered Framework for Continuously Adaptive AI Experiences

Raymond Chan
article en

Abstract

Dynamic Personalized Guidance Architecture (Dynamic PGA) is a human-centered conceptual framework for continuously adaptive AI experiences. The framework explores how artificial intelligence might adapt not only to an individual's longer-range goals, interests, knowledge, and preferences, but also to meaningful changes that occur as an experience unfolds. The paper introduces a developing Dynamic A/B model: Dynamic A provides adaptive direction around the individual's goals and intended destination, while Dynamic B introduces state-aware responsiveness to the individual's immediate circumstances. Together, they express a central principle of the framework: A remembers the destination. B respects the human being who has to get there. Version 1.0 explores potential applications in education, experiential travel, professional environments, healthcare communication, and creative work, while emphasizing human agency, privacy, appropriate boundaries, and future research and validation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Intelligent Tutoring Systems and Adaptive Learning
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Dynamic PGA: A Human-Centered Framework for Continuously Adaptive AI Experiences — Raymond Chan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS