Dr HORIA MAIOR HORIA.MAIOR@NOTTINGHAM.AC.UK
TRANSITIONAL ASSISTANT PROFESSOR
Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks
Maior, Horia A.; Wilson, Max L.; Sharples, Sarah
Authors
Dr MAX WILSON MAX.WILSON@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Professor SARAH SHARPLES SARAH.SHARPLES@NOTTINGHAM.AC.UK
PROFESSOR OF HUMAN FACTORS
Abstract
Feedback is valuable for allowing us to improve on tasks. While retrospective feedback can help us improve for next time, feedback “in action” can allow us to improve the outcome of on-going tasks. In this paper, we use data from functional Near InfraRed Spectroscopy to provide participants with feedback about their Mental Workload levels during high-workload tasks. We evaluate the impact of this feedback on task performance and perceived task performance, in comparison to industry standard mid-task self assessments, and explore participants’ perceptions of this feedback. In line with previous work, we confirm that deploying self-reporting methods affect both perceived and actual performance. Conversely, we conclude that our objective concurrent feedback correlated more closely with task demand, supported reflection in action, and did not negatively affect performance. Future work, however, should focus on the design of this feedback and the potential behaviour changes that will result.
Citation
Maior, H. A., Wilson, M. L., & Sharples, S. (2018). Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks. ACM Transactions on Computer-Human Interaction, 25(2), 1-30. https://doi.org/10.1145/3173380
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 12, 2017 |
Online Publication Date | Apr 16, 2018 |
Publication Date | 2018-04 |
Deposit Date | Jan 22, 2018 |
Publicly Available Date | Apr 16, 2018 |
Journal | ACM Transactions on Computer-Human Interaction |
Print ISSN | 1073-0516 |
Electronic ISSN | 1557-7325 |
Publisher | Association for Computing Machinery (ACM) |
Peer Reviewed | Peer Reviewed |
Volume | 25 |
Issue | 2 |
Article Number | 9 |
Pages | 1-30 |
DOI | https://doi.org/10.1145/3173380 |
Keywords | Mental Workload, FNIRS, Physiological computing, Feedback, Task Demand, Performance, Bio-feedback of Workload |
Public URL | https://nottingham-repository.worktribe.com/output/926420 |
Publisher URL | https://dl.acm.org/doi/10.1145/3173380 |
Additional Information | © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Computer-Human Interaction, VOL 25, ISS 2, April 2018 https://dl.acm.org/doi/10.1145/3173380 |
Contract Date | Jan 22, 2018 |
Files
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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
Feedback.pdf
(3.1 Mb)
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