activity
20182021
most citedCausal Perception in Question-Answering Systems

9 citations · 11 across the 2 of their papers we have counts for

collaborators

6 papers

cs.HC20219 cited

Causal Perception in Question-Answering Systems

Po-Ming Law, Leo Yu-Ho Lo, Alex Endert +2

Root cause analysis is a common data analysis task. While question-answering systems enable people to easily articulate a why question (e.g., why students in Massachusetts have hig…

cs.HC2020

Characterizing Automated Data Insights

Po-Ming Law, Alex Endert, John Stasko

Many researchers have explored tools that aim to recommend data insights to users. These tools automatically communicate a rich diversity of data insights and offer such insights f…

cs.HC2020

What are Data Insights to Professional Visualization Users?

Po-Ming Law, Alex Endert, John Stasko

While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of en…

cs.HC20202 cited

The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias

Po-Ming Law, Sana Malik, Fan Du +1

While decision makers have begun to employ machine learning, machine learning models may make predictions that bias against certain demographic groups. Semi-automated bias detectio…

cs.CY2020

Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study

Po-Ming Law, Sana Malik, Fan Du +1

Machine learning models often make predictions that bias against certain subgroups of input data. When undetected, machine learning biases can constitute significant financial and…

cs.SI2018

Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts

Po-Ming Law, Yanhong Wu, Rahul C. Basole

Getting the overall picture of how a large number of ego-networks evolve is a common yet challenging task. Existing techniques often require analysts to inspect the evolution patte…