Exploring the Feasibility of a Repeated Mobile One-Minute PVT In-the-Wild
Researchers have established that quality sleep is important for cognitive functions. Now that consumer-grade wearables can provide accurate measurements of sleep quality, we should be able to inform individuals about how their sleep impacts cognitive functions. However, as our internal clock follows cycles of alertness and sleepiness, it is still necessary to identify at what time of day the sleep quality impacts cognitive performance. In this study, we investigated the relationship between sleep stages and psychomotor vigilance using a 1-minute Psychomotor Vigilance Task (PVT) test. Participants wore a sleep-tracking device and performed the PVT test six times daily for three weeks. The results suggest that increased Rapid Eye Movement (REM) sleep duration led to better performance after lunch. Additionally, we developed a model to predict average response time based on the sleep data. The results show a promising step towards giving tangible meaning to sleep data.
Authors
- Koichi Kise (ORCID: https://orcid.org/0000-0001-5779-6968)
- Benjamin Tag (ORCID: https://orcid.org/0000-0002-7831-2632)
- Andrew Vargo (ORCID: https://orcid.org/0000-0001-6605-0113)
- Tasnim Irtifa Chowdhury (ORCID: https://orcid.org/0000-0003-0450-1518)
- Ryunosuke Nishitomi
Institutions
- Osaka Prefecture University (JP)
- Osaka Metropolitan University (JP)
- Monash University (AU)
- Tokyo Metropolitan University (JP)
Publication Details
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1145/3640471.3680235
- Citations
- 1
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 0.51