Kristiyan Emilov Lukanov
Using fNIRS in usability testing: understanding the effect of web form layout on mental workload
Lukanov, Kristiyan Emilov; Maior, Horia A.; Wilson, Max L.
Abstract
Amongst the many tasks in our lives, we encounter web forms on a regular basis, whether they are mundane like registering for a website, or complex and important like tax returns. There are many aspects of Usability, but one concern for user interfaces is to reduce mental workload and error rates. Whilst most assessment of mental workload is subjective and retrospective reporting by users, we examine the potential of functional Near Infrared Spectroscopy (fNIRS) as a tool for objectively and concurrently measuring mental workload during usability testing. We use this technology to evaluate the design of three different form layouts for a car insurance claim process, and show that a form divided into subforms increases mental workload, contrary to our expectations. We conclude that fNIRS is highly suitable for objectively examining mental workload during usability testing, and will therefore be able to provide more detailed insight than summative retrospective assessments. Further, for the fNIRS community, we show that the technology can easily move beyond typical psychology tasks, and be used for more natural study tasks.
Citation
Lukanov, K. E., Maior, H. A., & Wilson, M. L. (2016). Using fNIRS in usability testing: understanding the effect of web form layout on mental workload.
Conference Name | Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems |
---|---|
End Date | May 13, 2016 |
Publication Date | Jan 1, 2016 |
Deposit Date | Jan 22, 2016 |
Publicly Available Date | Jan 22, 2016 |
Peer Reviewed | Peer Reviewed |
Keywords | Mental workload; web forms; usability; functional near-infrared spectroscopy; fNIRS |
Public URL | https://nottingham-repository.worktribe.com/output/980178 |
Publisher URL | http://dl.acm.org/citation.cfm?doid=2858036.2858236 |
Additional Information | © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems (CHI'16), http://dx.doi.org/10.1145/2858036.2858236 ISBN 9781450333627 |
Files
WebForm.pdf
(180 Kb)
PDF
You might also like
A user defined taxonomy of factors that divide online information retrieval sessions
(2014)
Presentation / Conference Contribution
Search literacy: learning to search to learn
(2016)
Presentation / Conference Contribution
The Tetris model of resolving information needs within the information seeking process
(2017)
Presentation / Conference Contribution
Complex search task: how to make a phone safe for a child
(2017)
Journal Article
Measuring mental workload in IIR user studies with fNIRS
(2017)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search