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Demonstrating David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data Exploration

Published:20 April 2018Publication History

ABSTRACT

We explore the combination of smartwatches and a large interactive display to support visual data analysis. These two extremes of interactive surfaces are increasingly popular, but feature different characteristics-display and input modalities, personal/public use, performance, and portability. With this demonstration, we present our conceptual framework and its implementation, which enables analysts to explore data items using both devices in combination. Building on a analysis scenario for convicted crimes in Baltimore, our demonstration gives an impression of how the device combination can allow users to develop complex insights more fluidly by leveraging the device roles.

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demo1932-file4.mp4

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demo1932-file6.mp4

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14.3 MB

References

  1. Michael Bostock, Vadim Ogievetsky, and Jeffrey Heer. 2011. D3: Data-Driven Documents. IEEE Transactions on Visualization and Computer Graphics 17, 12 (2011), 2301--2309. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Matthew Brehmer and Tamara Munzner. 2013. A multi-level typology of abstract visualization tasks. IEEE Transactions on Visualization and Computer Graphics 19, 12 (2013), 2376--2385. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Tom Horak, Sriram Karthik Badam, Niklas Elmqvist, and Raimund Dachselt. 2018. When David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data Exploration. In Proceedings of the ACM Conference on Human Factors in Computing Systems. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Demonstrating David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data Exploration

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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

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      Qualifiers

      • demonstration

      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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