Using wearables to measure the impact of sleep on decision making
Language
English
Type
Proceedings of International Conferences
Authors
Toma Hara, Andrew Vargo, Motoi Iwata, Koichi Kise
Title
Using wearables to measure the impact of sleep on decision making
Journal
Augmented Humans 2025 (AHs25)
Location
Abu Dhabi, United Arab Emirates
Reviewed
Reviewed
Presentation type
Poster
Date
March 2025
Research fields
Wellbeing, Sensing
Key
Hara2025_AHs (id=2030)
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.
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