12 citations · 15 across the 5 of their papers we have counts for
5 papers
"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…
Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
Suchismita Naik, Austin L. Toombs, Amanda Snellinger +2
With recent advancements in multi-agent generative AI (Gen AI), technology organizations like Microsoft are adopting these complex tools, redefining AI agents as active collaborato…
Rethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education
Prakash Shukla, Suchismita Naik, Ike Obi +3
The growing integration of AI tools in student design projects presents an unresolved challenge in HCI education: how should AI-generated content be cited and documented? Tradition…
Tracing the Invisible: Understanding Students' Judgment in AI-Supported Design Work
Suchismita Naik, Prakash Shukla, Ike Obi +3
As generative AI tools become integrated into design workflows, students increasingly engage with these tools not just as aids, but as collaborators. This study analyzes reflection…
From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
Mohit Chandra, Suchismita Naik, Denae Ford +8
Recent gains in popularity of AI conversational agents have led to their increased use for improving productivity and supporting well-being. While previous research has aimed to un…