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Cognitive Style’s Effects on User Task Performance in Network Visualisations

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Diagrammatic Representation and Inference (Diagrams 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12909))

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Abstract

With the increasing importance of visualisation in being able to understand large sets of data, there is a growing body of research on how individual differences can influence a user performance in tasks using network visualisations. Individual differences in how users interact with and respond to visualisations presents an opportunity to inform how we construct visualisations. In this study, we chose to explore the effect of cognitive style on users’ performance in network visualisations. Three psychological constructs were used to account for individual differences: the Verbal-Imagery Cognitive Style, Rational-Experiential Inventory and Wholist-Analytic Cognitive Style. Using a sample of university students, we measured participants accuracy, effort, time, and efficiency to complete three separate tasks on network visualisations. Overall, the results of the study show evidence that cognitive styles account for some individual differences in user’s visualisation performance

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Author information

Authors and Affiliations

  1. Western Sydney University, Parramatta, NSW, Australia

    Nikita Dev Lomov & Quang Vinh Nguyen

  2. University of Technology Sydney, Ultimo, NSW, Australia

    Weidong Huang

  3. Chongqing Jiaotong University, Chongqing, China

    Jing Luo

Authors
  1. Nikita Dev Lomov
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  2. Weidong Huang
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  3. Jing Luo
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  4. Quang Vinh Nguyen
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Corresponding author

Correspondence to Jing Luo .

Editor information

Editors and Affiliations

  1. Jadavpur University, Kolkata, India

    Amrita Basu

  2. University of Cambridge, Cambridge, UK

    Gem Stapleton

  3. Lancaster University in Leipzig, Leipzig, Germany

    Sven Linker

  4. Deakin University, Burwood, VIC, Australia

    Catherine Legg

  5. Kyoto University, Kyoto, Japan

    Emmanuel Manalo

  6. Universidade Federal Fluminense, Niterói, Brazil

    Petrucio Viana

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Lomov, N.D., Huang, W., Luo, J., Nguyen, Q.V. (2021). Cognitive Style’s Effects on User Task Performance in Network Visualisations. In: Basu, A., Stapleton, G., Linker, S., Legg, C., Manalo, E., Viana, P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science(), vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_45

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  • DOI: https://doi.org/10.1007/978-3-030-86062-2_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86061-5

  • Online ISBN: 978-3-030-86062-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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