In this chapter, we briefly review the development of natural user interfaces and discuss their
role in providing human-computer interaction that is immersive in various ways. Then we …

This study comparatively evaluates the effectiveness of three visualization methods (list,
matrix, network) and the influence of data complexity, task type, and user characteristics on …

可视分析是大数据分析的重要方法. 大数据可视分析旨在利用计算机自动化分析能力的同时,
充分挖掘人对于可视化信息的认知能力优势, 将人, 机的各自强项进行有机融合 …

Research and development in computer science and statistics have produced increasingly
sophisticated software interfaces for interactive and exploratory analysis, optimized for easy …

Visualizations of run-time program state help novices form proper mental models and debug
their code. We push this technique to the extreme by posing the following question: What if a …

In the age of big data, being able to make sense of data is an important key to success.
Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and …

Understanding social dynamics that govern human phenomena, such as communications
and social relationships is a major problem in current computational social sciences. In …

Objective To outline new design directions for informatics solutions that facilitate personal
discovery with self-monitoring data. We investigate this question in the context of chronic …

Exploratory data analysis plays a major role in obtaining insights from data. Over the last two
decades, researchers have proposed several visual data exploration tools that can assist …

Generating knowledge from data is an increasingly important activity. This process of data
exploration consists of multiple tasks: data ingestion, visualization, statistical analysis, and …