Cognitive demand throughout an analyst workflow


Journal article


Caitlin Volante, Rie Helene (Lindy) Hernandez, Viviane (Vivi) Ito, Turquoise Richardson, Ashley Anderson Alexis Boone, Richard Lamb
2025

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APA   Click to copy
Volante, C., Hernandez, R. H. (L., Ito, V. (V., Richardson, T., Boone, A. A. A., & Lamb, R. (2025). Cognitive demand throughout an analyst workflow.


Chicago/Turabian   Click to copy
Volante, Caitlin, Rie Helene (Lindy) Hernandez, Viviane (Vivi) Ito, Turquoise Richardson, Ashley Anderson Alexis Boone, and Richard Lamb. “Cognitive Demand throughout an Analyst Workflow” (2025).


MLA   Click to copy
Volante, Caitlin, et al. Cognitive Demand throughout an Analyst Workflow. 2025.


BibTeX   Click to copy

@article{caitlin2025a,
  title = {Cognitive demand throughout an analyst workflow},
  year = {2025},
  author = {Volante, Caitlin and Hernandez, Rie Helene (Lindy) and Ito, Viviane (Vivi) and Richardson, Turquoise and Boone, Ashley Anderson Alexis and Lamb, Richard}
}

Abstract: The cognitive demand of the analyst depends on the characteristics of a task as well as the stage of the task’s workflow. One important step in being able to learn more about this for system developers, researchers, and designers is to create a task that is able to detect the main “bottlenecks” that an analyst faces when moving through their workflow. The identification of these bottlenecks is necessary in order to understand where to best implement a tool to ease the workflow. To assess this, we propose a feasibility assessment to determine the best way to identify these areas. We plan to assess cognitive demand through different stages of an analyst workflow using fNIR and self-report measures, using the recruitment of analysts to give feedback on our measures and task design.

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