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Measuring mental workload in IIR user studies with fNIRS

Wilson, Max L.; Alsuraykh, Norah; Maior, Horia A.

Authors

Norah Alsuraykh psxna10@nottingham.ac.uk

Horia A. Maior psxhama@nottingham.ac.uk



Abstract

Gathering neuro-physiological data during user studies, and analysing the continuous data they produce, typically involves making a tradeoff between detail and practical utility. is paper describes our long-term work-in-progress towards developing study protocols for using functional Near-InfraRed Spectroscopy (fNIRS) with the aim of finding the ideal balance in this tradeoff. Our results show that fNIRS can be easily used in normal IIR user study conditions, is tolerant of minor movement artefacts (including speaking), and can still determine mental workload differences between different user interfaces designed for the same task.

Citation

Wilson, M. L., Alsuraykh, N., & Maior, H. A. (2017). Measuring mental workload in IIR user studies with fNIRS

Conference Name NeuroIIR 2017 - CHIIR Workshop on Challenges in Bringing Neuroscience to Research in Human-Information Interaction
Acceptance Date Feb 24, 2017
Publication Date Mar 11, 2017
Deposit Date Mar 16, 2017
Publicly Available Date Mar 16, 2017
Peer Reviewed Peer Reviewed
Public URL http://eprints.nottingham.ac.uk/id/eprint/41341
Publisher URL https://sites.google.com/site/neuroiir2017/papers
Related Public URLs https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxuZXVyb2lpcjIwMTd8Z3g6NDVmYWQxNDg1ZTBmNDE2Mg
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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NeuroIIR_2017_paper_5 (1).pdf (520 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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