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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

Dream the Dream: Futuring Communication between LGBTQ+ and Cisgender Groups in Metaverse

Anqi Wang, Lei Han, Jiahua Dong +4

Digital platforms frequently reproduce heteronormative norms and structural biases, limiting inclusive communication between LGBTQ+ and cisgender individuals. The Metaverse, with i…

cs.HC20262 cited

The AI Amplifier Effect: Defining Human-AI Intimacy and Romantic Relationships with Conversational AI

Ching Christie Pang, Yi Gao, Xuetong Wang +1

What does it mean to fall in love with something we know is virtual? The proliferation of conversational AI enables users to create customizable companions, fostering new intimate…

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.HC2025

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…