works on

From the 1 of 7 linked papers with an AI index.

most citedCo-Designing Digital Humans for Online Learning: A Framework for Human-AI Pedagogical Integration

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.HC20261 cited

Co-Designing Digital Humans for Online Learning: A Framework for Human-AI Pedagogical Integration

Xiaokang Lei, Ching Christie Pang, Yuyang Jiang +2

The paper proposes a framework for integrating AI-powered digital avatars as teachers in online learning, based on a design space analysis, learner surveys, and co‑design workshops…

cs.HC2026

CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks

Anqi Wang, Dongyijie Pan, Xin Tong +1

Although Large Language Models (LLMs) demonstrate proficiency in knowledge-intensive tasks, current interfaces frequently precipitate cognitive misalignment by failing to externali…

cs.HC2026

NexusAI: Enabling Design Space Exploration of Ideas through Cognitive Abstraction and Functional Decomposition

Anqi Wang, Bingqian Wang, Huiyang Chen +4

Large Language Models (LLMs) offer vast potential for creative ideation; however, their standard interaction paradigm often produces unstructured textual outputs that lead users to…

cs.HC2026

FAIR: Framing AIs Role in Programming Competitions -- Understanding How LLMs Are Changing the Game in Competitive Programming

Dongyijie Primo Pan, Lan Luo, Ji Zhu +3

This paper investigates how large language models (LLMs) are reshaping competitive programming. The field functions as an intellectual contest within computer science education and…

cs.HC2026

Reflexa: Uncovering How LLM-Supported Reflection Scaffolding Reshapes Creativity in Creative Coding

Anqi Wang, Zhengyi Li, Lan Luo +2

Creative coding requires continuous translation between evolving concepts and computational artifacts, making reflection essential yet difficult to sustain. Creators often struggle…

cs.HC2026

DesignerlyLoop: Forming Design Intent through Curated Reasoning for Human-LLM Alignment

Anqi Wang, Zhengyi Li, Xin Tong +1

Recent large language models (LLMs) show promise in design tasks, yet a fundamental misalignment persists: design thinking requires iterative intent formulation, while LLMs treat i…