TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 1557170X
Y1  - 2018///
EP  - 1525
VL  - 2018-J
A1  - Ung, W.C.
A1  - Meriaudeau, F.
A1  - Tang, T.B.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056665616&doi=10.1109%2fEMBC.2018.8512501&partnerID=40&md5=97b47a4539fd6ece973eab3e92ea2442
AV  - none
SP  - 1522
TI  - Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment
ID  - scholars9838
KW  - dysthymia; human; near infrared spectroscopy; task performance; workload
KW  -  Humans; Mental Fatigue; Spectroscopy
KW  -  Near-Infrared; Task Performance and Analysis; Workload
N1  - cited By 4; Conference of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 ; Conference Date: 18 July 2018 Through 21 July 2018; Conference Code:141674
N2  - Gains of cognitive training may be eliminated due to mental fatigue. This paper reports the design and implementation of a functional near-infrared spectroscopy (fNIRS) - dynamic difficulty adjustment (DDA) system. A total of 25 healthy volunteers underwent two training sessions - one with fixed difficulty level of training (FDT) and one with neurofeedback training (NFT) using our fNIRS-DDA system. The workload in each training session was assessed using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Whilst sustaining mental task performance, the drop in oxygenation level observed in NFT subjects might indicate mental fatigue as they received higher NASA-TLX scores, especially in both mental demand and frustration subscales. In contrast, the oxygenation levels remained almost constant by NFT subjects throughout the experiment. This suggests that the proposed fNIRS-DDA system aided the participants in avoiding mental fatigue. Future studies will investigate if the system may prevent the progression of Alzheimer's disease. © 2018 IEEE.
ER  -