Imperial College London
Portrait Picture

ProfessorDaniloMandic

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
//

Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
//

Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
//

Location

 

813Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Davies:2022:10.1109/EMBC48229.2022.9871448,
author = {Davies, HJ and Williams, I and Mandic, DP},
doi = {10.1109/EMBC48229.2022.9871448},
journal = {Annu Int Conf IEEE Eng Med Biol Soc},
pages = {4913--4916},
title = {Tracking Cognitive Workload in Gaming with In-Ear [Formula: see text].},
url = {http://dx.doi.org/10.1109/EMBC48229.2022.9871448},
volume = {2022},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The feasibility of using in-ear [Formula: see text] to track cognitive workload induced by gaming is investigated. This is achieved by examining temporal variations in cognitive workload through the game Geometry Dash, with 250 trials across 7 subjects. The relationship between performance and cognitive load in Dark Souls III boss fights is also investigated followed by a comparison of the cognitive workload responses across three different genres of game. A robust decrease in in-ear [Formula: see text] is observed in response to cognitive workload induced by gaming, which is consistent with existing results from memory tasks. The results tentatively suggest that in-ear [Formula: see text] may be able to distinguish cognitive workload alone, whereas heart rate and breathing rate respond similarly to both cognitive workload and stress. This study demonstrates the feasibility of low cost wearable cognitive workload tracking in gaming with in-ear [Formula: see text], with applications to the play testing of games and biofeedback in games of the future.
AU  - Davies,HJ
AU  - Williams,I
AU  - Mandic,DP
DO  - 10.1109/EMBC48229.2022.9871448
EP  - 4916
PY  - 2022///
SP  - 4913
TI  - Tracking Cognitive Workload in Gaming with In-Ear [Formula: see text].
T2  - Annu Int Conf IEEE Eng Med Biol Soc
UR  - http://dx.doi.org/10.1109/EMBC48229.2022.9871448
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36085931
VL  - 2022
ER  -
Download