PolyZoom: Multiscale and Multifocus Exploration in 2D Visual Spaces

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Slides from ACM CHI 2012 presentation given by Sohaib Ghani.

Abstract: The most common techniques for navigating in multiscale visual spaces are pan, zoom, and bird’s eye views. However, these techniques are often tedious and cumbersome to use, especially when objects of interest are located far apart. We present the PolyZoom technique where users progressively build hierarchies of focus regions, stacked on each other such that each subsequent level shows a higher magnification. Correlation graphics show the relation between parent and child viewports in the hierarchy. To validate the new technique, we compare it to standard navigation techniques in two user studies, one on multiscale visual search and the other on multifocus interaction. Results show that PolyZoom performs better than current standard techniques.

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PolyZoom: Multiscale and Multifocus Exploration in 2D Visual Spaces

  1. 1. PolyZoom: Multiscale and Multifocus Exploration in 2D Visual SpacesWaqas Javed, Sohaib Ghani, Niklas Elmqvist Purdue University West Lafayette, IN USA Presented By: Sohaib Ghani ACM CHI 2012 May 5-8, 2012 ▪ Austin, Texas
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  5. 5. Outline • Motivation • Demo • Related Work • The PolyZoom Technique – Design Decisions – Layout – PolyZoom: System • User Studies • Conclusion5
  6. 6. Motivation• Multiscale visual space – Example: Google Maps – geospatial dataset • Large (entire world) and two-dimensional • Multiscale (different data at different levels of detail)• Navigation in such visual spaces is difficult – Desert fog – Multifocus interaction 6
  7. 7. PolyZoom• PolyZoom is a multiscale multifocus technique for navigating in 2D visual spaces – Allows users to iteratively build a hierarchy of focus regions – Allows maintaining awareness of multiple scales of the visual space• [Video] 7
  8. 8. Related Work • Common Navigation Techniques – Scrolling (Igarashi and Hinckley 2000) – Pan & Zoom ( Furnas and Bederson 2005) – Overview + Detail (Hornbæk and Frøkjær 2001) – Focus + Context (Furnas 1986) • Multifocus Interaction – Split-screen techniques (Shoemaker and Gutwin 2007) – Stack zooming (Javed and Elmqvist 2010) • Multiscale Navigation – Pad (Perlin and Fox 1993)8
  9. 9. PolyZoom: Design Goals • Multiscale awareness • Multifocus awareness • No distortion • No overlap9
  10. 10. PolyZoom: Layout• Layout• Viewport size management• Correlation graphics10
  11. 11. PolyZoom: System • Web-based implementation – ActionScript3, Flash, and HTML5 • Google Maps dataset, NASA Universe, a Lunar dataset, and a Martian dataset11
  12. 12. User Studies12
  13. 13. Study 1: Multiscale Visual Search13
  14. 14. Study 1: Multiscale Visual Search • Participants: 12 • Navigation Techniques: 2 – P – PolyZoom – S – Simple Pan & Zoom • Hierarchy Levels L : 3 (3,4,5) • Repetitions: 4 • Task14
  15. 15. Study 1: Multiscale Visual Search• Hypothesis: P will be faster than S• Result: significant main effect of Technique T on completion time• Also significant main effect of Hierarchy Level L on completion time• Completion time was roughly linear with number of hierarchy levels • Levels were significantly different with completion times ordered 3 < 4 < 5 (Tukey HSD, p < .05)• No significant interaction between T and L 15
  16. 16. Study 2: Multifocus Comparison16
  17. 17. Study 2: Multifocus Comparison • Participants: 12 • Navigation Techniques: 2 – P – PolyZoom – S – Simple Pan & Zoom • Discovery Order D : 5 (1,2,3,4,5) • Repetitions: 2 • Task17
  18. 18. Study 2: Multifocus Comparison• Hypothesis: P will be faster than S• Result: significant main effect of technique T on completion time• Discovery order D had a significant main effect on completion time • Roughly linear (as expected) • Pairwise differences between orders were significant (Tukey HSD, p < .05) 18
  19. 19. Subjective Ratings• Differences in ratings significant (Friedman test, p < .05) 19
  20. 20. PolyZoom for 20 Years of UIST20
  21. 21. Conclusion • Design of a multiscale and multifocus interaction technique called PolyZoom • Evaluation with 2 user studies – Study 1 for multiscale visual search – Study 2 for multifocus comparisons • PolyZoom performs better than pan & zoom21
  22. 22. Thank You! Online demo available: http://web.ics.purdue.edu/~wjaved/projects/stackZoom/ Contact Information: Sohaib Ghani Purdue University, West Lafayette, IN, USA E-mail: sghani@purdue.edu Partially funded by NSF Grant #1123108.22 http://engineering.purdue.edu/pivot/

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