activity
20212026
most citedDesignerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2026

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…

cs.HC2026★ 1 cited

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…

cs.HC2026

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…

cs.HC2023★ 3 cited

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…

cs.HC2021

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…