activity
20232026
most citedABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

49 citations · 120 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2026

Proactive Systems in HCI and AI: Concepts, Challenges, and Opportunities

Nima Zargham, Sharon Ferguson, Jaisie Sin +2

The last few years have seen a significant rise in interest in highly autonomous and proactive systems, fueled by advances in AI. Systems that anticipate user needs, take initiativ…

cs.CY2026★ 1 cited

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions

Saleh Afroogh, Syed Ishtiaque Ahmed, Petra Ahrweiler +46

This study provides a cross-disciplinary examination of Explainable Artificial Intelligence (XAI) approaches-focusing on deep neural networks (DNNs) and large language models (LLMs…

cs.HC2026

Talk Me Through It: Developing Effective Systems for Chart Authoring

Nazar Ponochevnyi, Young-Ho Kim, Joseph Jay Williams +1

Recent chart-authoring systems increasingly focus on natural-language input, enabling users to form a mental image of the chart they wish to create and express this intent using sp…

cs.HC2025★ 22 cited

Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process

Mohi Reza, Jeb Thomas-Mitchell, Peter Dushniku +3

As generative AI tools like ChatGPT become integral to everyday writing, critical questions arise about how to preserve writers' sense of agency and ownership when using these tool…

cs.HC2024★ 3 cited

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness

Harsh Kumar, Suhyeon Yoo, Angela Zavaleta Bernuy +6

Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of supp…

cs.HC2024★ 1 cited

Chart What I Say: Exploring Cross-Modality Prompt Alignment in AI-Assisted Chart Authoring

Nazar Ponochevnyi, Anastasia Kuzminykh

Recent chart-authoring systems, such as Amazon Q in QuickSight and Copilot for Power BI, demonstrate an emergent focus on supporting natural language input to share meaningful insi…

cs.HC2024★ 8 cited

CUI@CHI 2024: Building Trust in CUIs-From Design to Deployment

Smit Desai, Christina Wei, Jaisie Sin +10

Conversational user interfaces (CUIs) have become an everyday technology for people the world over, as well as a booming area of research. Advances in voice synthesis and the emerg…

cs.HC2023★ 3 cited

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination

Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu +9

Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense…

cs.HC2023★ 33 cited

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception

Harsh Kumar, Ilya Musabirov, Mohi Reza +5

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (…

cs.HC2023★ 49 cited

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Mohi Reza, Nathan Laundry, Ilya Musabirov +7

Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However,…