Serena Midha
Detecting variation in mental workload levels within everyday work tasks using fNIRS
Midha, Serena; Wilson, Max L.; Maior, Horia A.; Sharples, Sarah
Authors
Dr MAX WILSON MAX.WILSON@NOTTINGHAM.AC.UK
Associate Professor
Horia A. Maior
SARAH SHARPLES SARAH.SHARPLES@NOTTINGHAM.AC.UK
Professor of Human Factors
Citation
Midha, S., Wilson, M. L., Maior, H. A., & Sharples, S. (2018, October). Detecting variation in mental workload levels within everyday work tasks using fNIRS. Poster presented at fNIRS2018, Tokyo, Japan
| Presentation Conference Type | Poster |
|---|---|
| Conference Name | fNIRS2018 |
| Start Date | Oct 5, 2018 |
| End Date | Oct 8, 2018 |
| Deposit Date | Nov 7, 2018 |
| Publicly Available Date | Nov 7, 2018 |
| Public URL | https://nottingham-repository.worktribe.com/output/1234053 |
Files
Using fNIRS to measure mental workload in naturalistic comprehension and composition tasks
(56 Kb)
PDF
Detecting variation in mental workoad levels within everyday worktasks using fNIRS
(505 Kb)
PDF
Version
Poster
You might also like
Introduction to the special issue on neuro?information science
(2019)
Journal Article
Improvising a Live Score to an Interactive Brain-Controlled Film
(2019)
Conference Proceeding
Brain-Controlled Cinema
(2019)
Book Chapter
AD Prevent-Detect: Evaluation of Cognitive Screening and Cognitive Training for People at risk of Dementia
(2019)
Conference Proceeding
The Multi-Stage Experience: the Simulated Work Task Approach to Studying Information Seeking Stages
(2019)
Conference Proceeding