eprintid: 9838
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/98/38
datestamp: 2023-11-09 16:36:29
lastmod: 2023-11-09 16:36:29
status_changed: 2023-11-09 16:29:57
type: conference_item
metadata_visibility: show
creators_name: Ung, W.C.
creators_name: Meriaudeau, F.
creators_name: Tang, T.B.
title: Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment
ispublished: pub
keywords: dysthymia; human; near infrared spectroscopy; task performance; workload, Humans; Mental Fatigue; Spectroscopy, Near-Infrared; Task Performance and Analysis; Workload
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
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. © 2018 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056665616&doi=10.1109%2fEMBC.2018.8512501&partnerID=40&md5=97b47a4539fd6ece973eab3e92ea2442
id_number: 10.1109/EMBC.2018.8512501
full_text_status: none
publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
volume: 2018-J
pagerange: 1522-1525
refereed: TRUE
isbn: 9781538636466
issn: 1557170X
citation:   Ung, W.C. and Meriaudeau, F. and Tang, T.B.  (2018) Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment.  In: UNSPECIFIED.