@inproceedings{scholars9838, doi = {10.1109/EMBC.2018.8512501}, volume = {2018-J}, note = {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}, title = {Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment}, year = {2018}, pages = {1522--1525}, journal = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {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. {\^A}{\copyright} 2018 IEEE.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056665616&doi=10.1109\%2fEMBC.2018.8512501&partnerID=40&md5=97b47a4539fd6ece973eab3e92ea2442}, keywords = {dysthymia; human; near infrared spectroscopy; task performance; workload, Humans; Mental Fatigue; Spectroscopy, Near-Infrared; Task Performance and Analysis; Workload}, isbn = {9781538636466}, author = {Ung, W. C. and Meriaudeau, F. and Tang, T. B.}, issn = {1557170X} }