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GIAnT: Visualizing Group Interaction at Large Display Walls Ulrich von Zadow , Raimund Dachselt CHI, May 2017 Background: Display Walls Display walls: Very large surfaces Interactive: Touch, tangibles, pen, distal Wild Room


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Ulrich von Zadow, Raimund Dachselt

GIAnT:

Visualizing Group Interaction at Large Display Walls

CHI, May 2017

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Display walls: § Very large surfaces § Interactive: Touch, tangibles, pen, distal pointing,... § Very high resolution § Users move around § Multiple users § Public/semi-public Background: Display Walls

CityWall [Morrison et al., 2008] Wild Room [Beaudouin-Lafon et al., 2008] GraSp [Kister et al., 2017] NiCE Room [Haller et al., 2008]

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Application Cases

[Rajabiyazdi et al., 2015]

Locomotion [Ball et al., 2008] Collaboration

[Jakobsen and Hornbæk, 2014]

Awareness

[von Zadow et al., 2016]

Background: Research in Display Wall Interaction

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Research Question:

What visualizations would allow us to understand multi-user interaction at large display walls more effectively? Challenges: § Support time periods: Provide visualizations that show user behavior

  • ver time periods

§ Provide dimensional mapping: Display high-dimensional data (e.g., 3D position + time) on a 2D display § Support relevant research topics, e.g., collaboration, locomotion, awareness

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Video Coding Tools VCode and VData

[Hagedorn et al., 2008]

Tabletop Visualization Toolkits VisTaCo

[Tang et al., 2010]

Related Work: Interaction Analysis Tools

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Group Interaction Analysis Toolkit GIAnT git repository: https://github.com/imldresden/GIAnT

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Time Slider

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Video

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Timeline View

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Wall View

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Floor View

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Statistics

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Colors § L*C*h Color Space § Different hues § Equal perceptual brightness Time Position across wall Visualizations: Timeline View Distance from wall White dots: Touches

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Visualizations: Alternative Timeline Time Distance from wall White dots: Touches

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Colors § Additive blending § Regions with

  • verlapping gaze

are brighter Visualizations: Wall View § Color-coded heat map of gaze points § Scatterplot of touches

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§ Heat map of user positions § Current positions as dots, viewpoints as lines Visualizations: Floor View

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Live Demo

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GIAnT System Design

Data Sources Derived data Visualizations

Timeline Wall Floor Statistics User Pos Gaze Dir Touch Video

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Abstract data sources Concrete data sources GIAnT System Design Data Sources

User Pos Gaze Dir Touch Video

Marker-based Tracking User coding using tangible markers

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Technologies § Python/libavg § SQLite database § C++ visualizations for speed § Preprocessor script GIAnT System Design Open Source § https://github.com/imldresden/GIAnT § GPL license § Any issues? Contact us!

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ACM CHI 2017 – IML Dresden – GIAnT: Visualizing Group Interaction at Large Wall Displays

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Set of Visualizations for Wall Interaction Analysis

§ Shows user interaction over configurable time periods § Intelligent dimensional mapping § Supports relevant research topics

Group Interaction Analysis Toolkit GIAnT

§ Open Source § Expandable to new visualizations, data sources, derived data Conclusion: Contributions

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Th Thank ank yo you!

Contact: Ulrich von Zadow ulrich.zadow@tu-dresden.de

GIAnT GIAnT:

Visualizing Group Interaction at Large Display Walls

https://www.imld.de/giant https://github.com/imldresden/GIAnT

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References

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  • Shows derived data
  • Parallel coordinates emphasize correlations
  • Candidate for expansion

Visualizations: Statistics View

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Extrafolien:

  • Research topics
  • ...

...

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  • Colors determined in L*C*h space.
  • Users differentiated by hue, equal

perceptual brightness and distance.

  • Lightness available to visualize other

variables.

  • Additive blending results in clearly visible
  • verlaps (e.g. heatmaps)

Visualizations: Colors