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20242026
most citedGenerative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making

22 citations · 31 across the 6 of their papers we have counts for

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cs.HC2026

[MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)

Téo Sanchez, Bhada Yun, Prerna Ravi +6

The mental model construct is widely used in HCI to refer to the knowledge structure people hold in order to reason about and interact with computing systems. Yet it is often opera…

cs.HC2026

AI Phenomenology for Understanding Human-AI Experiences Across Eras

Bhada Yun, Evgenia Taranova, Dana Feng +2

There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engag…

cs.HC2026★ 1 cited

From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering

Dana Feng, Bhada Yun, April Yi Wang

Juniors enter as AI-natives, seniors adapted mid-career. AI is not just changing how engineers code-it is reshaping who holds agency across work and professional growth. We contrib…

cs.HC2026★ 3 cited

Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction

Bhada Yun, Evgenia Taranova, April Yi Wang

As AI chatbots shift from tools to companions, critical questions arise: who controls the conversation in human-AI chatrooms? This paper explores perceived human and AI agency in s…

cs.HC2026★ 5 cited

AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations

Bhada Yun, Renn Su, April Yi Wang

Does AI understand human values? While this remains an open philosophical question, we take a pragmatic stance by introducing VAPT, the Value-Alignment Perception Toolkit, for stud…

cs.HC2025★ 22 cited

Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making

Bhada Yun, Dana Feng, Ace S. Chen +2

Our study of 20 knowledge workers revealed a common challenge: the difficulty of synthesizing unstructured information scattered across multiple platforms to make informed decision…