Brian Y. Lim

schoolNational University of Singaporebar_chart#6028 Global Rank

Total Papers

HCI Rank

#6028

Research Areas

Years Active

Recent Publications

COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

Interpretable machine learning models trade -off accuracy for simplicity to make explanations more readable and easier to comprehend. Drawing from cognitive psychology theories in graph comprehension, we formalize readability as visual cognitive chunks to measure and moderate the cognitive load in explanation visualiz…

CHI '19CorrespondingExplainable AI (XAI) +1

Designing Theory-Driven User-Centric Explainable AI

From healthcare to criminal justice, artificial intelligence (AI) is increasingly supporting high-consequence human decisions. This has spurred the field of explainable AI (XAI). This paper seeks to strengthen empirical application-specific investigations of XAI by exploring theoretical underpinnings of human decision…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/3711?source=all