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Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks

Maior, Horia A.; Wilson, Max L.; Sharples, Sarah

Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks Thumbnail


Authors

HORIA MAIOR Horia.Maior@nottingham.ac.uk
Transitional Assistant 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

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