Towards AI as Colleagues: Multi-Agent System Improves Structured Professional Ideation
A multi-agent system that enhances structured professional ideation by enabling AI to act as collaborative colleagues.
A multi-agent system that enhances structured professional ideation by enabling AI to act as collaborative colleagues.
Agentic workflows that empower junior researchers and designers to create self-representational frontends.
An interactive shared representation that structures GenAI-assisted hypotheses exploration using diagram-based guardrails.
Multimodal agents that prompt players to generate game design ideas, exploring whether AI can effectively prompt humans.
An interaction-oriented theoretical framework for understanding creative inspiration from examples.
Evaluating human-AI interaction with LLMs through the task of news headline generation.
Exploring LLMs' capacity for augmenting cross-domain analogical creativity. Honorable Mention Award.
Combining freeform curation with structured templates to support flexible design workflows.
A conversational agent that uses backchannels to engage older adults during neurocognitive disorders screening.
Helping novices frame better problems through interactive scaffolding for creative work.