Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment

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.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 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
Uncontrolled Keywords: dysthymia; human; near infrared spectroscopy; task performance; workload, Humans; Mental Fatigue; Spectroscopy, Near-Infrared; Task Performance and Analysis; Workload
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:36
Last Modified: 09 Nov 2023 16:36
URI: https://khub.utp.edu.my/scholars/id/eprint/9838

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