14 citations · 33 across the 7 of their papers we have counts for
8 papers
ToMigo: Interpretable Design Concept Graphs for Aligning Generative AI with Creative Intent
Lena Hegemann, Xinyi Wen, Michael A. Hedderich +2
Generative AI often produces results misaligned with user intentions, for example, resolving ambiguous prompts in unexpected ways. Despite existing approaches to clarify intent, a…
Metacognitive Demands and Strategies While Using Off-The-Shelf AI Conversational Agents for Health Information
Shri Harini Ramesh, Foroozan Daneshzand, Babak Rashidi +3
As Artificial Intelligence (AI) conversational agents become widespread, people are increasingly using them for health information seeking. The use of off-the-shelf conversational…
Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking
Oliver Huang, Muhammad Fatir, Steven Luo +3
When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretati…
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang +1
Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for AI-powered systems remains challenging. UX designers face hurdles understanding AI t…
How Do Viewers Synthesize Conflicting Information from Data Visualizations?
Prateek Mantri, Hariharan Subramonyam, Audrey L. Michal +1
Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these…
Human-AI Guidelines in Practice: Leaky Abstractions as an Enabler in Collaborative Software Teams
Hariharan Subramonyam, Jane Im, Colleen Seifert +1
In conventional software development, user experience (UX) designers and engineers collaborate through separation of concerns (SoC): designers create human interface specifications…
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
Michael Madaio, Lisa Egede, Hariharan Subramonyam +2
Various tools and practices have been developed to support practitioners in identifying, assessing, and mitigating fairness-related harms caused by AI systems. However, prior resea…
Towards A Process Model for Co-Creating AI Experiences
Hariharan Subramonyam, Colleen Seifert, Eytan Adar
Thinking of technology as a design material is appealing. It encourages designers to explore the material's properties to understand its capabilities and limitations, a prerequisit…