Measuring mental workload in IIR user studies with fNIRS

Tools

Wilson, Max L., Alsuraykh, Norah and Maior, Horia A. (2017) Measuring mental workload in IIR user studies with fNIRS. In: NeuroIIR 2017 - CHIIR Workshop on Challenges in Bringing Neuroscience to Research in Human-Information Interaction, 11 Mar 2017, Oslo, Norway.

Full text not available from this repository.

Official URL: https://sites.google.com/site/neuroiir2017/papers

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.

Item Type:	Conference or Workshop Item (Paper)
RIS ID:	https://nottingham-repository.worktribe.com/output/849799
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Related URLs:	URL URL Type https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxuZXVyb2lpcjIwMTd8Z3g6NDVmYWQxNDg1ZTBmNDE2Mg Publisher
Depositing User:	Wilson, Max
Date Deposited:	16 Mar 2017 11:47
Last Modified:	04 May 2020 18:37
URI:	https://eprints.nottingham.ac.uk/id/eprint/41341

Actions (Archive Staff Only)

Edit View

LoginAdmin