OREGON STATE UNIVERSITY

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Ronald Metoyer

Associate Professor
Computer Science
Education: 
  • 2002 Ph.D. in Computer Science
    Georgia Institute of Technology
  • 1994 B.S. in Computer Engineering
    University of California, Los Angeles
Biography: 

Ronald Metoyer is currently an associate professor in the Computer Science department at Oregon State University. He received his Ph.D. from the College of Computing at the Georgia Institute of Technology in 2001 where he was a member of the Graphics, Visualization and Usability Center.

Research Interests: 

Dr. Metoyer’s research is driven by the tremendous amount of data that is created on a daily basis. For instance, email messages arrive faster and more frequently than ever in our inboxes, and advances in sensor technology have led to data collections that scientists often cannot effectively use. Efficiently making sense of this data and using it to improve our everyday work and personal lives is a difficult task due to the sheer amount of data. Visual methods provide one mechanism for coping with large amounts of data.

His current research interest is in understanding how everyday users are affected by the large amount of data available to them and developing infrastructure for supporting them in using this data. Dr. Metoyer employs user-centered design methods to understand how to best support these end users (as opposed to programmers or professional data analysts) in creating and using powerful data visualizations. By democratizing the tools of data visualization and analysis, his research enables analysis and creation by the masses and facilitates diverse perspectives on data sources. Such tools will find applications in many domains including elder care, personal fitness and nutrition, and education.

Current research projects include a design study to understand how to use visualizations to inform users of their energy consumption habits in the home, the use of a novel visualization technique called the Diversity Map for studying the diversity of large multivariate data sets, and an exploration into how to design information visualization tools for end users such as elementary school children.

Research Areas:
Information Visualization, Human-Computer Interaction, Computer Graphics