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"Can Computing Systems Eventually Disappear?": A Long-Term Tracking Study on the Use of Diabetes Computing Systems by Patients with Diabetes — arXiv:2610.23276
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2610.23276
- License (as archived)
- CC0-1.0
- Archived
- 2026-10-19T08:47:55.366Z
- SHA-256 of the archived text
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How to cite
"Can Computing Systems Eventually Disappear?": A Long-Term Tracking Study on the Use of Diabetes Computing Systems by Patients with Diabetes — arXiv:2610.23276 — arXiv (en), https://arxiv.org/abs/2610.23276 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_d71ba90efdb2 (Metraipolis archive dc_d71ba90efdb2, sha256 24b8f99882d85b60bae33c1332ad85eef9a9a58437ae87a63f98c878dd58ba15)
BibTeX
@misc{dcd71ba90efdb2,
title = {"Can Computing Systems Eventually Disappear?": A Long-Term Tracking Study on the Use of Diabetes Computing Systems by Patients with Diabetes — arXiv:2610.23276},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2610.23276},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_d71ba90efdb2; sha256 24b8f99882d85b60bae33c1332ad85eef9a9a58437ae87a63f98c878dd58ba15},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.23276. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Ubiquitous computing has long pursued Weiser's vision of technologies that "disappear" into everyday life. As wearable health systems advance, they increasingly substitute for rather than scaffold users' judgment, yet the long-term consequences remain underexplored. We report an eight-year, five-wave longitudinal interview study from 2017 to 2025 with 37 patients with diabetes, complemented by interviews with 15 clinicians, designers, and vendors. Across three technological generations including glucometers, continuous glucose monitoring, and predictive and automated insulin delivery systems, we identify a novel user state, continued use with cognitive disengagement. In this state, devices remain in use but active interpretation and questioning recede, leaving users to respond only to alarms. This state emerges from functional expansion, delegation of interpretive authority, and information fatigue, and is reinforced by clinical prioritization, information compression, and automation. It results in less frequent independent health judgment and a shift from understanding to responding. We argue that future diabetes computing systems should reduce unnecessary cognitive work while preserving users' opportunities to interpret, contextualize, and question system outputs. Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.HC, nuovi lavori del giorno). Categorie arXiv: Human-Computer Interaction (cs.HC). Pagina del lavoro: https://arxiv.org/abs/2610.23276 — 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 2026-10-19T08:42:24.912Z dalla pagina https://arxiv.org/list/cs.HC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).