Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users
© 2018 Copyright is held by the owner/author(s). This work explores the use of pressure-sensing to capture cues of the stress of smartphone users while typing. In a controlled laboratory study, 11 participants were asked to write about a recent stressful and relaxing experience in counterbalanced or...
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| Format: | Artikel |
| Sprache: | English |
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Association for Computing Machinery (ACM)
2021
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| Online Zugang: | https://hdl.handle.net/1721.1/137982 |
| _version_ | 1826213827279060992 |
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| author | Exposito, Marc Hernandez, Javier Picard, Rosalind W. |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Exposito, Marc Hernandez, Javier Picard, Rosalind W. |
| author_sort | Exposito, Marc |
| collection | MIT |
| description | © 2018 Copyright is held by the owner/author(s). This work explores the use of pressure-sensing to capture cues of the stress of smartphone users while typing. In a controlled laboratory study, 11 participants were asked to write about a recent stressful and relaxing experience in counterbalanced order. Preliminary results show a significant positive correlation between the increase in typing pressure and self-reported stress across the two conditions (r=0.75, p=0.0081). In addition, we observed a significant negative correlation between the typing pressure baseline and the self-reported stress (r=-0.74, p=0.0093). These findings can help inform the development of less invasive methods for stress measurement. |
| first_indexed | 2024-09-23T15:55:27Z |
| format | Article |
| id | mit-1721.1/137982 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:55:27Z |
| publishDate | 2021 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1379822021-11-10T03:04:52Z Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users Exposito, Marc Hernandez, Javier Picard, Rosalind W. Massachusetts Institute of Technology. Media Laboratory © 2018 Copyright is held by the owner/author(s). This work explores the use of pressure-sensing to capture cues of the stress of smartphone users while typing. In a controlled laboratory study, 11 participants were asked to write about a recent stressful and relaxing experience in counterbalanced order. Preliminary results show a significant positive correlation between the increase in typing pressure and self-reported stress across the two conditions (r=0.75, p=0.0081). In addition, we observed a significant negative correlation between the typing pressure baseline and the self-reported stress (r=-0.74, p=0.0093). These findings can help inform the development of less invasive methods for stress measurement. 2021-11-09T16:59:32Z 2021-11-09T16:59:32Z 2018-09 2019-07-31T18:23:23Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137982 Exposito, Marc, Hernandez, Javier and Picard, Rosalind W. 2018. "Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users." en 10.1145/3236112.3236132 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Exposito, Marc Hernandez, Javier Picard, Rosalind W. Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title | Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title_full | Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title_fullStr | Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title_full_unstemmed | Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title_short | Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users |
| title_sort | affective keys towards unobtrusive stress sensing of smartphone users |
| url | https://hdl.handle.net/1721.1/137982 |
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