Three core research chapters — reframed from 22 years of industry practice into academic inquiry, methodology, and design knowledge.
"My research explores AI-driven experience systems in enterprise ecosystems, focusing on human-centered transformation, ethics, and scalable design intelligence."
Research Question: How can AI-driven design systems transform the user experience of enterprise-scale platforms without sacrificing coherence, trust, or accessibility across diverse user groups?
Core Insight: Enterprise AI adoption fails when systems optimize for efficiency over legibility. Users need explainable AI outputs, progressive disclosure, and trust scaffolding — not raw automation.
Output: AI-assisted UX framework with modular design tokens, conversational UI patterns, and a governance model for AI-driven interface decisions at enterprise scale.
Research Question: How do cognitive load, trust, and decision-making dynamics shift when AI-assisted design interfaces are deployed in mission-critical infrastructure?
Core Insight: Trust in AI recommendations is fragile and asymmetric — users accept AI guidance slowly but lose confidence rapidly after one failure. Design must account for cognitive recovery, not just task completion.
Output: Decision-support interface patterns for AI-assisted tooling — uncertainty communication, human override affordances, and cognitive load distribution across complex workflows.
Research Question: What design governance frameworks enable large organizations to build scalable, ethically grounded AI UX systems — and how do those frameworks transfer across industries?
Core Insight: Scalable AI UX requires design governance at the organizational level — decision protocols, token systems, pattern libraries, and embedded ethical review — before any single product can succeed sustainably.
Output: Design governance playbook, AI UX pattern library, and reusable design token system transferable across organizations embedding AI into product workflows.
Korina (Yoo-Kyung) Han · ProQuest Dissertations & Theses · December 2012 · ID: 1521427
"This research proposes that teaching children about the tools, processes, and production of television shows and online games may mitigate violent behavior. 'Online mentor guides' — AI software agents — may foster children's inherent visual intelligence."