collaborators

6 papers

cs.HC2026

"Always Want to Use it for Everything": Understanding Young Adults' Perceptions of AI Dependence

Ashlee Milton, Leah Ajmani, Amy Heger +3

The growing integration of general-purpose AI chatbots into people's daily lives has raised concerns about the potential for unhealthy dependence, particularly among young adults.…

cs.AI2026

Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being

Jina Suh, Mihaela Vorvoreanu, Forough Poursabzi-Sangdeh +5

As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist…

cs.HC2026

"So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency

Suchismita Naik, Samir Passi, Mihaela Vorvoreanu +2

Multi-agent large language model (LLM) systems are rapidly emerging, yet transparency, a cornerstone of responsible AI, remains under-defined in these distributed architectures, wh…

cs.SE2026

Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents

Shipi Dhanorkar, Samir Passi, Mihaela Vorvoreanu

Autonomous software agents hold promise to increase developer productivity but make mistakes and exhibit novel failure modes, making human oversight central to successful human-age…

cs.CY2026

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

VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization

Sam Yu-Te Lee, Jingya Chen, Albert Calzaretto +4

Enterprise chatbots show promise in supporting knowledge workers in information synthesis tasks by retrieving context from large, heterogeneous databases before generating answers.…