April Yi Wang

schoolETH Zurichbar_chart#425 Global Rank

Total Papers

HCI Rank

#425

Research Areas

Years Active

Recent Publications

UI Remix: Supporting UI Design Through Interactive Example Retrieval and Remixing

Designing user interfaces (UIs) is a critical step when launching products, building portfolios, or personalizing projects, yet end users without design expertise often struggle to articulate their intent and to trust design choices. Existing example-based tools either promote broad exploration, which can cause overwh…

IUI '26CorrespondingBest PaperExplainable AI (XAI) +3

StepMIND: A Visual Framework for Stepwise, Multimodal, and Bidirectional Explanations of AI-Generated Data Analysis Pipeline

Artificial intelligence (AI) enables users to generate data visualizations from natural language descriptions, lowering the barrier to data exploration. However, AI-generated visualizations often present only the final output, lacking transparency and limiting users' ability to verify, interpret, or refine the results…

CHI '26CorrespondingHonorable MentionHuman-LLM Collaboration +3

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

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 studying how LLMs reflect people's values and how people judge those reflections. 20 participants texted a chatbot over a month, then completed…

CHI '264th AuthorHuman-LLM Collaboration +2

Through the Lens of Human-Human Collaboration: An Configurable Research Platform for Exploring Human-Agent Collaboration

Intelligent systems have traditionally been designed as tools rather than collaborators, often lacking critical characteristics that collaboration partnerships require. Recent advances in large language model (LLM) agents open new opportunities for human-LLM-agent collaboration by enabling natural communication and va…

CHI '265th+ AuthorProgramming Education & Computational Thinking +2

Exploring the Impacts and Challenges of Vibe Coding Paradigm to Children's Programming Learning and Practices

Recent advances in generative AI have introduced a new programming paradigm—vibe coding, a natural language–driven mode of AI collaboration. While promising for adults, little is known about how children engage with this approach, especially in block-based environments. To explore this gap, we conducted workshops with…

CHI '26CorrespondingCollaborative Learning & Peer Teaching +2

Git Takes Two: Split-View Awareness for Collaborative Learning of Distributed Workflows in Git

Git is widely used for collaborative software development, but it can be challenging for newcomers. While most learning tools focus on individual workflows, Git is inherently collaborative. We present GitAcademy, a browser-based learning platform that embeds a full Git environment with a split-view collaborative mode:…

CHI '26CorrespondingHuman-LLM Collaboration +2

"Bespoke Bots'': Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots

Instructors are increasingly experimenting with AI chatbots for classroom support. To investigate how instructors adapt chatbots to their own contexts, we first analyzed existing resources that provide prompts for educational purposes. We identified ten common categories of customization, such as persona, guardrails,…

CHI '26CorrespondingHonorable MentionHuman-LLM Collaboration +2

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

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 contribute junior–senior accounts on their usage of agentic AI through a three-phase mixed-methods study: ACTA combined with a Delphi process with…

CHI '264th AuthorProgramming Education & Computational Thinking +1

The Elephant in the Syntax: A Comparative Study of Semantics‑First, Block‑Based, and Textual Programming

Syntax remains a major barrier for novices. Although block-based systems reduce or eliminate syntax errors, conditionals still challenge learners, likely because their semantics remain implicit. In this paper, we address this problem by introducing a semantics-first, state-visible programming approach inspired by the…

CHI '26CorrespondingHonorable MentionAgent Personality & Anthropomorphism +2

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

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 sustained conversation. We report a month-long longitudinal study with 22 adults who chatted with "Day", an LLM companion we built, followed…

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