4 citations · 10 across the 4 of their papers we have counts for
5 papers
From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning
Vedant Khatri, Anthony Cusimano, Zachari Swiecki +3
Multi-agent large language model (LLM) systems are designed to improve reasoning by decomposing tasks across multiple agents with specialized functions, but the presence of multipl…
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing
Kaixun Yang, Yixin Cheng, Linxuan Zhao +4
The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dy…
Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping
Ying Yang, Tim Dwyer, Zachari Swiecki +6
We delineate the development of a mind-mapping system designed concurrently for both VR and desktop platforms. Employing an iterative methodology with groups of users, we systemati…
Evidence-centered Assessment for Writing with Generative AI
Yixin Cheng, Kayley Lyons, Guanliang Chen +2
We propose a learning analytics-based methodology for assessing the collaborative writing of humans and generative artificial intelligence. Framed by the evidence-centered design,…
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations
Lixiang Yan, Vanessa Echeverria, Gloria Fernandez Nieto +5
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional…