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From Wearable Data to Personalized and Actionable Health Insights — arXiv:2608.03251

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.03251
License (as archived): CC0-1.0
Archived: 2026-10-31T12:18:42.026Z
SHA-256 of the archived text: 33332f71df54d1c8d3ed5cb43b16f203624db0d370c001f5d3bb5e0ea8a3a24c
Stable URL of this page: https://metraipolis.com/documento/dc_522fc205b36d

How to cite

From Wearable Data to Personalized and Actionable Health Insights — arXiv:2608.03251 — arXiv (en), https://arxiv.org/abs/2608.03251 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_522fc205b36d (Metraipolis archive dc_522fc205b36d, sha256 33332f71df54d1c8d3ed5cb43b16f203624db0d370c001f5d3bb5e0ea8a3a24c)

BibTeX

@misc{dc522fc205b36d,
  title = {From Wearable Data to Personalized and Actionable Health Insights — arXiv:2608.03251},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.03251},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_522fc205b36d; sha256 33332f71df54d1c8d3ed5cb43b16f203624db0d370c001f5d3bb5e0ea8a3a24c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.03251. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Commercial wearable devices continuously capture rich physiological data (e.g., heart rate, respiration), opening new possibilities for monitoring health conditions, notably around stress. Despite their promise, turning raw wearable physiological data streams into visualizations that surface stress-related insights in daily activities, and that ultimately foster reflection, awareness, and better stress management, remains a significant challenge. The data are noisy and context-dependent: the same spike in heart rate can come from sprinting, a tense presentation, or laughing with friends. To address these challenges, we propose a framework that combines user annotations with wearable data to support better stress management. We introduce a web framework offering interactive visualizations that layer daily activities, stress events, and interventions onto raw physiological streams, enabling users to reflect and identify trends. In a four-week pilot with seven university graduate and undergraduate student participants who logged 269 events, our tool revealed patterns between different types of interventions and stress: social interaction reduced average heart rate by 4.35 to 5.0 beats per minute, deliberate rest reduced average Garmin stress scores by 10.03 to 13.83 points, and mindfulness activities decreased average HRV by 6.61 to 13.22 milliseconds.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-05 in cs.AI).
Categorie arXiv: Human-Computer Interaction (cs.HC) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2608.03251 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-31T12:05:53.021Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-08-05?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).