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Cognitive Information Theories of Psychology and Applications with Visualization and HCI Through Crowdsourcing Platforms

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Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10264))

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Abstract

This chapter introduces information processing perspectives from cognitive psychology, providing historical background content where it might prove useful. The hope is that this will provide readers enough of an understanding of psychology perspectives, theories, and methods that they can better apply crowdsourcing methods to understand the cognitive outcomes of interaction within visualization environments and other computer interfaces.

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Notes

  1. 1.

    http://novaproject.com last accessed 14 Jun 2017.

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Acknowledgment

We would like to express gratitude to Dagstuhl for facilitating the seminar (titled, ‘Evaluation in the Crowd: Crowdsourcing and Human-Centred Experiments’), which has allowed this collaboration to develop.

Author information

Authors and Affiliations

  1. Swansea University, Swansea, UK

    Darren J. Edwards

  2. Simon Fraser University, Burnaby, Canada

    Linda T. Kaastra & Brian Fisher

  3. Tufts University, Medford, USA

    Remco Chang

  4. University of Oxford, Oxford, UK

    Min Chen

Authors
  1. Darren J. Edwards
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  2. Linda T. Kaastra
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  3. Brian Fisher
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  4. Remco Chang
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  5. Min Chen
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Corresponding author

Correspondence to Darren J. Edwards .

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Editors and Affiliations

  1. Department of Computer Science, Swansea University, Swansea, United Kingdom

    Daniel Archambault

  2. University of Glasgow, Glasgow, United Kingdom

    Helen Purchase

  3. Modellierung adaptiver Systeme, Universität Duisburg-Essen, Essen, Germany

    Tobias Hoßfeld

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Edwards, D.J., Kaastra, L.T., Fisher, B., Chang, R., Chen, M. (2017). Cognitive Information Theories of Psychology and Applications with Visualization and HCI Through Crowdsourcing Platforms. In: Archambault, D., Purchase, H., Hoßfeld, T. (eds) Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Lecture Notes in Computer Science(), vol 10264. Springer, Cham. https://doi.org/10.1007/978-3-319-66435-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-66435-4_6

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