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MIND - an EEG neurofeedback multitasking game

 
: Lim, Wei Lun; Sourina, Olga; Wang, Lipo

:

Sourin, Alexei ; Institute of Electrical and Electronics Engineers -IEEE-; Association for Computing Machinery -ACM-, Special Interest Group on Computer Graphics and Interactive Techniques -SIGGRAPH-; International Federation for Information Processing -IFIP-:
International Conference on Cyberworlds, CW 2015. Proceedings : 7 - 9 October 2015, Visby, Sweden
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2015
ISBN: 978-1-4673-9402-4 (Print)
ISBN: 978-1-4673-9403-1
S.169-172
International Conference on Cyberworlds (CW) <14, 2015, Visby>
Englisch
Konferenzbeitrag
Fraunhofer IDM@NTU ()
Electroencephalography (EEG); Neurofeedback; serious games; Multitasking; Business Field: Digital society; Research Area: Human computer interaction (HCI)

Abstract
Multitasking is a prevalent phenomenon in our daily lives. Certain occupations, especially in the aviation industry, consider proficient multitasking as a key skill set in their hiring process for pilot or air traffic controller candidates. There is a growing interest in the testing and training of the multitasking ability, with in house software or commercial psychological products, usually implemented in a static task battery format.
In this paper, we propose a 3D game, Multitask In Neurofeedback Driving (MIND) for training and testing of the multitasking ability. The game is developed using the Unreal 3 game engine and incorporates neurofeedback, a technique used in the training of human cognitive abilities, to further enhance the potential benefits of the training procedure. The tasks used in the multitasking condition are inspired by various psychological tests and implemented in a manner that attempts to simulate the general cognitive processes required for multitasking while driving a vehicle or piloting an aircraft. The game comes in three variants, single task condition, multitasking condition and multitasking with neurofeedback condition, for the purpose of validating the training outcomes in future studies.

: http://publica.fraunhofer.de/dokumente/N-382028.html