Workload alerts - using physiological measures of mental workload to provide feedback during tasks
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 fee...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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Association for Computing Machinery
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/49196/ |
| _version_ | 1848797943062069248 |
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| author | Maior, Horia A. Wilson, Max L. Sharples, Sarah |
| author_facet | Maior, Horia A. Wilson, Max L. Sharples, Sarah |
| author_sort | Maior, Horia A. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:11:54Z |
| format | Article |
| id | nottingham-49196 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T20:11:54Z |
| publishDate | 2018 |
| publisher | Association for Computing Machinery |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-491962018-06-10T14:07:32Z https://eprints.nottingham.ac.uk/49196/ Workload alerts - using physiological measures of mental workload to provide feedback during tasks Maior, Horia A. Wilson, Max L. Sharples, Sarah 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. Association for Computing Machinery 2018-04-16 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/49196/8/a9-maior.pdf application/pdf en https://eprints.nottingham.ac.uk/49196/1/Feedback.pdf Maior, Horia A., Wilson, Max L. and Sharples, Sarah (2018) Workload alerts - using physiological measures of mental workload to provide feedback during tasks. ACM Transactions on Computer-Human Interaction, 25 (2). 9:1-9:30. ISSN 1557-7325 Mental Workload FNIRS Physiological computing Feedback Task Demand Performance Bio-feedback of Workload https://dl.acm.org/citation.cfm?doid=3200181.3173380 doi:10.1145/3173380 doi:10.1145/3173380 |
| spellingShingle | Mental Workload FNIRS Physiological computing Feedback Task Demand Performance Bio-feedback of Workload Maior, Horia A. Wilson, Max L. Sharples, Sarah Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title | Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title_full | Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title_fullStr | Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title_full_unstemmed | Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title_short | Workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| title_sort | workload alerts - using physiological measures of mental workload to provide feedback during tasks |
| topic | Mental Workload FNIRS Physiological computing Feedback Task Demand Performance Bio-feedback of Workload |
| url | https://eprints.nottingham.ac.uk/49196/ https://eprints.nottingham.ac.uk/49196/ https://eprints.nottingham.ac.uk/49196/ |