users desires and act on their behalf, thereby requiring less human attention. Their debate continues to be highly cited (with 479 citations in January 2022 for the original CHI debate), especially in user interface design communities where return debates took place at the ACM CHI 2017 and ACM CHI 2021 conferences. Information visualization His major work in recent years has been on information visualization, originating the treemap concept for hierarchical data. Treemaps are implemented in most information visualization tools including Spotfire, Tableau Software, QlikView, SAS, JMP, and Microsoft Excel. Treemaps are included in hard drive exploration tools, stock market data analysis, census systems, election data, gene expression, and data journalism. The artistic side of treemaps are on view in the Treemap Art Project. He also developed dynamic queries sliders with multiple coordinated displays that are a key component of Spotfire, which was acquired by TIBCO in 2007. His work continued on visual analysis tools for time series data, TimeSearcher, high dimensional data, Hierarchical Clustering Explorer, and social network data, SocialAction. Shneiderman contributed to the widely used social network analysis and visualization tool NodeXL. Current work deals with visualization of temporal event sequences, such as found in Electronic Health Records, in systems such as LifeLines2 and EventFlow. These tools visualize the categorical data that make up a single patient history and they present an aggregated view that enables analysts to find patterns in large patient history databases. Taxonomy of interactive dynamics for visual analysis, 2012 In 2012, Jeffrey Heer and Shneiderman coauthored the article "Interactive Dynamics for Visual Analysis" in Association for Computing Machinery Queue vol. 10, no. 2. Included in this article is a taxonomy of interactive dynamics to assist researchers, designers, analysts, educators, and students in evaluating and creating visual analysis tools. The taxonomy consists of 12 task types grouped into three high-level categories, as shown below. Universal usability He also defined the research area of universal usability to encourage greater attention to diverse users, languages, cultures, screen sizes, network speeds, and technology platforms. Human-Centered AI The current topic of Shneiderman's Scholarship is Human-Centered Artificial Intelligence Shneiderman proposes an alternative vision of AI which focuses on the need for reliable, safe and trustworthy systems that enable people to benefit from the power of AI while remaining in control. Shneiderman emphasizes the need for technologies that "augment, amplify, empower, and enhance humans rather than replace them". Publications List of articles: