Perception of Average Value in Multiclass Scatterplots Michael - - PowerPoint PPT Presentation

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Perception of Average Value in Multiclass Scatterplots Michael - - PowerPoint PPT Presentation

Nov 23, 2022 255 likes •1.16k views

Perception of Average Value in Multiclass Scatterplots Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri Perception of Average Value in Multiclass Scatterplots Michael Gleicher, Michael Correll , Christine Nothelfer,

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Perception of Average Value in Multiclass Scatterplots

Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri

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Perception of Average Value in Multiclass Scatterplots

Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri

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Perception of Average Value in Multiclass Scatterplots

Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri

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Which color is higher on average?

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Which color is higher on average?

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Which color is higher on average?

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Which color is higher on average?

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Which color is higher on average?

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Which color is higher on average?

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Summary

How well can a general audience do this task? How do design choices affect performance?

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Visual Aggregation

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Why?

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Why?

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Why?

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Why?

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Why?

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Why?

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Anscombe’s Quartet

5 10 15 5 10 15 5 10 15 5 10 15 5 10 15 5 10 15 5 10 15 10 20

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Premises

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Premises

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Premises

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How Well Can We Aggregate?

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Perception of Aggregates

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Perception of Aggregates

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Methodologies

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Methods

11 between-subjects experiments 9 within-subjects experiments 600 participants (17,520 trials)

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Results

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Results

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Visual variables

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>

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Color is a stronger cue than shape

79% 72%

>

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Results

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Irrelevant Cues

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≈

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77% 80%

≈

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Distractor class

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≈

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78% 77%

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Distractor class and irrelevant cue

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>

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80% 76%

>

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Averaging is robust to visual complexity

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Averaging is robust to visual complexity

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Averaging is robust to visual complexity

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Averaging is robust to visual complexity

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Results

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Redundant cues

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≈

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81% 80%

≈

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Ongoing Work

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Ongoing Work

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Ongoing Work

20 40 60 80 100 20 40 60 80 100

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Ongoing Work

20 40 60 80 100 20 40 60 80 100

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Conclusion

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Acknowledgments

This work was supported in part by NSF awards CMMI-0941013, BCS-1056730, SBE-1041707, DRL-0918409, DRL-1247262, and IIS-1162037 and NIH award R01 AU974787. Visit http://graphics.cs.wisc.edu/Vis/ScatterVis13/ for data tables, stimuli, and sample experiments.

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Extra Slides

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Eye Tracking

Means 16 pixels apart Means 80 pixels apart

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Shape is a weaker cue than color

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Shape is a weaker cue than color

72.9% accuracy overall 79.4% accuracy overall

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Shape is a weaker cue than color

75% accuracy at 26.1 pixels apart 75% accuracy at 19.7 pixels apart

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Color vs. Shape

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Redundancy

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Δparameter

Δ=16 pixels Δ=80 pixels

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Δparameter

Δ=16 pixels Δ=80 pixels

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Δparameter

Δ=12 pixels Δ=80 pixels

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Shape is a weaker cue than color

72.9% 79.4% 0.2 0.4 0.6 0.8 1 Accuracy *

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Averaging is robust to visual complexity

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Averaging is robust to visual complexity

76.9% 80.1% 0.2 0.4 0.6 0.8 1 Accuracy

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Averaging is robust to visual complexity

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Averaging is robust to visual complexity

78.2% 76.9% 0.2 0.4 0.6 0.8 1 Accuracy

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Averaging is robust to visual complexity

76.9% 78.2% 80.1% 76.9% 0.2 0.4 0.6 0.8 1 Accuracy

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Visual complexity still matters

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Visual complexity still matters

79.5% 75.5% 0.2 0.4 0.6 0.8 1 Accuracy *

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Visual complexity still matters

76.9% 78.2% 79.5% 80.1% 76.9% 75.5% 0.2 0.4 0.6 0.8 1 Accuracy *

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Redundant encodings don’t help

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Redundant encodings don’t (always) help

80.7% 79.7% 0.2 0.4 0.6 0.8 1 Accuracy

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Redundant encodings don’t (always) help