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Human Computation in Visualization: Using Purpose Driven Games for Robust Evaluation of Visualization Algorithms.

N Ahmed1, Ziyi Zheng, K Mueller

  • 1Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA. nuahmed@cs.sunysb.edu

IEEE Transactions on Visualization and Computer Graphics
|September 11, 2015
PubMed
Summary
This summary is machine-generated.

Human Computation (HC) leverages human cognition for visualization evaluation, overcoming bottlenecks in research. A game called "Disguise" demonstrates this approach for cost-effective algorithm assessment and design.

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Area of Science:

  • Human-Computer Interaction
  • Visualization Research
  • Cognitive Science

Background:

  • Visualization evaluation heavily relies on human perception and cognition.
  • Recruiting human participants for evaluation is a significant bottleneck in visualization research.

Purpose of the Study:

  • To address the challenges in human participant recruitment for visualization evaluation.
  • To explore the application of Human Computation (HC) in visualization research.
  • To propose a framework for integrating human intelligence into visualization development.

Main Methods:

  • Utilizing Human Computation (HC) by integrating human cognitive abilities into computational loops.
  • Developing a purpose-driven game, "Disguise," to facilitate human participation.
  • Mapping visualization algorithm evaluation tasks into engaging game mechanics.

Main Results:

  • Demonstrated that HC can effectively overcome traditional bottlenecks in visualization evaluation.
  • Showcased

Conclusions:

  • Human Computation offers a viable and cost-effective solution for extensive visualization evaluation.
  • The proposed framework enables a transition from evaluating existing methods to designing novel visualization techniques.