Mental workload as personal data: designing a cognitive activity tracker
Research continues to correlate physical signals with mental activity, as opposed to physical activity, with physiological sensors. Further, with the proliferation of wearable technology, it seems imminent that our smart watches can soon keep track of our mental activity as well as our physical acti...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/50630/ |
| _version_ | 1848798300975661056 |
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| author | Wilson, Max L. Sharon, Natalia Maior, Horia A. Midha, Serena Craven, Michael P. Sharples, Sarah |
| author_facet | Wilson, Max L. Sharon, Natalia Maior, Horia A. Midha, Serena Craven, Michael P. Sharples, Sarah |
| author_sort | Wilson, Max L. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Research continues to correlate physical signals with mental activity, as opposed to physical activity, with physiological sensors. Further, with the proliferation of wearable technology, it seems imminent that our smart watches can soon keep track of our mental activity as well as our physical activity. Our research is working towards accurately measuring Mental Workload ‘in the wild’ using physiological sensors. While we work towards that goal, however, we have begun to explore the design aspects of representing personal cognitive data to users; analogous to a step counter for physical activity. We present the results of diary studies, focus groups, and prototyping exercises to identify design considerations for future cognitive activity trackers. |
| first_indexed | 2025-11-14T20:17:35Z |
| format | Conference or Workshop Item |
| id | nottingham-50630 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:17:35Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-506302020-05-04T19:33:06Z https://eprints.nottingham.ac.uk/50630/ Mental workload as personal data: designing a cognitive activity tracker Wilson, Max L. Sharon, Natalia Maior, Horia A. Midha, Serena Craven, Michael P. Sharples, Sarah Research continues to correlate physical signals with mental activity, as opposed to physical activity, with physiological sensors. Further, with the proliferation of wearable technology, it seems imminent that our smart watches can soon keep track of our mental activity as well as our physical activity. Our research is working towards accurately measuring Mental Workload ‘in the wild’ using physiological sensors. While we work towards that goal, however, we have begun to explore the design aspects of representing personal cognitive data to users; analogous to a step counter for physical activity. We present the results of diary studies, focus groups, and prototyping exercises to identify design considerations for future cognitive activity trackers. 2018-02-20 Conference or Workshop Item PeerReviewed Wilson, Max L., Sharon, Natalia, Maior, Horia A., Midha, Serena, Craven, Michael P. and Sharples, Sarah (2018) Mental workload as personal data: designing a cognitive activity tracker. In: 3rd Symposium on Computing and Mental Health, 22nd April 2018, Montreal, Canada. (In Press) Mental Workload; personal data; activity monitoring |
| spellingShingle | Mental Workload; personal data; activity monitoring Wilson, Max L. Sharon, Natalia Maior, Horia A. Midha, Serena Craven, Michael P. Sharples, Sarah Mental workload as personal data: designing a cognitive activity tracker |
| title | Mental workload as personal data: designing a cognitive activity tracker |
| title_full | Mental workload as personal data: designing a cognitive activity tracker |
| title_fullStr | Mental workload as personal data: designing a cognitive activity tracker |
| title_full_unstemmed | Mental workload as personal data: designing a cognitive activity tracker |
| title_short | Mental workload as personal data: designing a cognitive activity tracker |
| title_sort | mental workload as personal data: designing a cognitive activity tracker |
| topic | Mental Workload; personal data; activity monitoring |
| url | https://eprints.nottingham.ac.uk/50630/ |