Detail of Publication
| Text Language | English |
|---|---|
| Authors | Toma Hara, Andrew Vargo, Motoi Iwata, Koichi Kise |
| Title | Using wearbles to measure the impact of sleep on decision making |
| Journal | Augmented Humans 2025 (AHs25) |
| Location | Abu Dhabi, United Arab Emirates |
| Reviewed or not | Reviewed |
| Presentation type | Poster |
| Month & Year | March 2025 |
| Abstract | This study examined the link between real-world sleep data, collected via the Oura Ring from 10 students, and their performance on a risk-taking task (BART). The key finding is that average heart rate (HR) and heart rate variability (HRV) during sleep significantly influenced BART outcomes. Specifically, a lower standard deviation of average HR and a higher standard deviation of average HRV over the three days before the task were associated with better risk selection optimization. This suggests that sleep, measured in natural settings, can affect decision-making under uncertainty. However, the study's small sample size limits the generalizability of these findings. |
- Entry for BibTeX
@InProceedings{Hara2025, author = {Toma Hara and Andrew Vargo and Motoi Iwata and Koichi Kise}, title = {Using wearbles to measure the impact of sleep on decision making}, booktitle = {Augmented Humans 2025 (AHs25)}, year = 2025, month = mar, location = {Abu Dhabi, United Arab Emirates} }