activity
20172026
most citedLearning Visual Importance for Graphic Designs and Data Visualizations

168 citations · 265 across the 6 of their papers we have counts for

collaborators

8 papers

cs.HC2026

AI Agents and the Future of VIS

Chen Zhu-Tian, Nam Wook Kim, Saeed Boorboor +4

Recent advances in agents (i.e., autonomous, goal-driven AI systems that iteratively observe, act, and learn from their environments) offer a fundamentally different approach from…

cs.HC2021

Kori: Interactive Synthesis of Text and Charts in Data Documents

Shahid Latif, Zheng Zhou, Yoon Kim +2

Charts go hand in hand with text to communicate complex data and are widely adopted in news articles, online blogs, and academic papers. They provide graphical summaries of the dat…

cs.HC2021

Recording Reusable and Guided Analytics From Interaction Histories

Nam Wook Kim

The use of visual analytics tools has gained popularity in various domains, helping users discover meaningful information from complex and large data sets. Users often face difficu…

cs.HC2020

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data

Anelise Newman, Barry McNamara, Camilo Fosco +5

Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-us…

cs.HC2019★ 3 cited

Are all the frames equally important?

Oleksii Sidorov, Marius Pedersen, Nam Wook Kim +1

In this work, we address the problem of measuring and predicting temporal video saliency - a metric which defines the importance of a video frame for human attention. Unlike the co…

cs.HC2017★ 168 cited

Learning Visual Importance for Graphic Designs and Data Visualizations

Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan +6

Knowing where people look and click on visual designs can provide clues about how the designs are perceived, and where the most important or relevant content lies. The most importa…