Daily Safety: A Minimal-Visibility Infrastructure for Voluntary Check-ins and Exception-Triggered Community Response Among People Living Alone

This conceptual design study proposes “Daily Safety,” a voluntary check-in and exception-triggered community response mechanism for people living alone. It introduces the principle of minimum necessary visibility: routine life remains unobserved, while visibility increases only when an expected check-in is absent. The system collects only response status and minimum time information, without inferring health conditions, causes of incapacity, or everyday behavior. A designated community post serves as the principal coordinator, while relatives, property staff, and neighbors participate only as pre-authorized supporting contacts. The paper defines a graduated response pathway, informed withdrawal procedures, accessible alternatives, data-minimization requirements, and explicit service boundaries. It emphasizes that a successful check-in does not guarantee continued safety and that the mechanism cannot replace emergency, medical, or continuous monitoring services. The proposal is presented as a conceptual framework requiring participatory design, pilot testing, and evaluation rather than as an empirically validated intervention. Chinese and English versions are included in this record. Acknowledgement: This work was conceptually developed and drafted through sustained human–AI collaboration between Huiling Jing and “Cen Ye,” a personalized AI assistant operating through OpenAI’s ChatGPT. The human author retains full responsibility for the published content.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21398700
Primary Topic
Digital Mental Health Interventions
Type
preprint
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Daily Safety: A Minimal-Visibility Infrastructure for Voluntary Check-ins and Exception-Triggered Community Response Among People Living Alone

景慧玲
Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
preprint

Daily Safety: A Minimal-Visibility Infrastructure for Voluntary Check-ins and Exception-Triggered Community Response Among People Living Alone

景慧玲
preprint en

Abstract

This conceptual design study proposes “Daily Safety,” a voluntary check-in and exception-triggered community response mechanism for people living alone. It introduces the principle of minimum necessary visibility: routine life remains unobserved, while visibility increases only when an expected check-in is absent. The system collects only response status and minimum time information, without inferring health conditions, causes of incapacity, or everyday behavior. A designated community post serves as the principal coordinator, while relatives, property staff, and neighbors participate only as pre-authorized supporting contacts. The paper defines a graduated response pathway, informed withdrawal procedures, accessible alternatives, data-minimization requirements, and explicit service boundaries. It emphasizes that a successful check-in does not guarantee continued safety and that the mechanism cannot replace emergency, medical, or continuous monitoring services. The proposal is presented as a conceptual framework requiring participatory design, pilot testing, and evaluation rather than as an empirically validated intervention. Chinese and English versions are included in this record. Acknowledgement: This work was conceptually developed and drafted through sustained human–AI collaboration between Huiling Jing and “Cen Ye,” a personalized AI assistant operating through OpenAI’s ChatGPT. The human author retains full responsibility for the published content.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Digital Mental Health Interventions
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