most citedTouch? Speech? or Touch and Speech? Investigating Multimodal Interaction for Visual Network Exploration and Analysis

61 citations · 115 across the 3 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.HC2020

NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries

Arpit Narechania, Arjun Srinivasan, John Stasko

Natural language interfaces (NLIs) have shown great promise for visual data analysis, allowing people to flexibly specify and interact with visualizations. However, developing visu…

cs.HC202061 cited

Touch? Speech? or Touch and Speech? Investigating Multimodal Interaction for Visual Network Exploration and Analysis

Ayshwarya Saktheeswaran, Arjun Srinivasan, John Stasko

Interaction plays a vital role during visual network exploration as users need to engage with both elements in the view (e.g., nodes, links) and interface controls (e.g., sliders,…

cs.HC202045 cited

Interweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration

Arjun Srinivasan, Bongshin Lee, John Stasko

Multimodal interfaces that combine direct manipulation and natural language have shown great promise for data visualization. Such multimodal interfaces allow people to stay in the…