Peter Gall Krogh
Papers
1
Total Citations
19
H-Index
1
About
Peter Gall Krogh is a leading figure in interaction design and human-computer interaction, whose work bridges the tangible and the algorithmic. His research centers on how physical forms can make complex systems—particularly artificial intelligence—more understandable and engaging. In his influential 2022 paper "Graspable AI: Physical Forms as Explanation Modality for Explainable AI" (19 citations), Krogh reimagines explainable AI (XAI) by proposing that users’ diverse preferences for explanation modalities can be met through tangible, graspable interfaces rather than relying solely on verbal or visual outputs. This contribution challenges conventional XAI approaches and opens new pathways for designing AI systems that are more intuitive and inclusive. Beyond this, Krogh has made foundational contributions to research-through-design methodologies, co-authoring seminal works that shape how designers and engineers approach problem framing and prototyping. His impact is reflected in a sustained record of highly cited publications that influence both academic discourse and practical design. Krogh’s work is essential reading for anyone interested in the intersection of physical interaction, AI transparency, and user-centered design.
Research Focus
Key Achievements
Top Papers
- 1Graspable AI: Physical Forms as Explanation Modality for Explainable AI19 citations · 2022