Measuring Mental Workload Variations in Office Work Tasks using fNIRS

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Publication date
2020-02-23
Creators
Midha, Serena
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Description
Measuring mental workload levels using fNIRS in reading and writing tasks of different levels of difficulty, and the effect the interruptions had on the data.
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Subjects
  • Neuroergonomics
  • Employees -- Workload
  • Brain -- Imaging
  • Near infrared spectroscopy
  • fNIRS, mental workload
  • Biological Sciences
  • Technologies
  • Q Science
Divisions
  • University of Nottingham, UK Campus
Deposit date
2021-02-23
Data type
fNIRS data and questionnaires
Contributors
  • Maior, Horia
  • Wilson, M.L
  • Sharples, Sarah
Funders
  • Engineering & Physical Sciences Research Council
Grant number
  • EP/R032718/1, EP/L015463/1, EP/M02315X/1
Data collection method
fNIRS and questionnaires
Resource languages
  • en
Publisher
University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution