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20192023
most citedThe Chart Excites Me! Exploring How Data Visualization Design Influences Affective Arousal

4 citations · 9 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.HC20231 cited

Urania: Visualizing Data Analysis Pipelines for Natural Language-Based Data Exploration

Yi Guo, Nan Cao, Xiaoyu Qi +5

Exploratory Data Analysis (EDA) is an essential yet tedious process for examining a new dataset. To facilitate it, natural language interfaces (NLIs) can help people intuitively ex…

cs.HC20224 cited

The Chart Excites Me! Exploring How Data Visualization Design Influences Affective Arousal

Xingyu Lan, Yanqiu Wu, Qing Chen +1

As data visualizations have been increasingly applied in mass communication, designers often seek to grasp viewers immediately and motivate them to read more. Such goals, as sugges…

cs.HC20222 cited

VizBelle: A Design Space of Embellishments for Data Visualization

Qing Chen, Ziyan Liu, Chengwei Wang +4

Visual embellishments, as a form of non-linguistic rhetorical figures, are used to help convey abstract concepts or attract readers' attention. Creating data visualizations with ap…

cs.HC20212 cited

VizLinter: A Linter and Fixer Framework for Data Visualization

Qing Chen, Fuling Sun, Xinyue Xu +3

Despite the rising popularity of automated visualization tools, existing systems tend to provide direct results which do not always fit the input data or meet visualization require…

cs.HC2019

Visual Anomaly Detection in Event Sequence Data

Shunan Guo, Zhuochen Jin, Qing Chen +3

Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When applied to the analys…