Sensorial Performance Score: A Property-Resolution Framework for Measuring How Built and Ecological Environments Shape Human Performance
Environmental epidemiology has established that features of the places people live — greenness, light, noise, air, temperature, biodiversity — are associated with measurable differences in sleep, cardiovascular function, cognition, stress physiology, and mortality. Yet a structural asymmetry limits the field: human biology is increasingly measured at individual resolution (wearables, biobanks), while environmental exposure is typically assigned at neighborhood-to-metropolitan scale, introducing substantial misclassification. We propose the Sensorial Performance Score, a framework that characterizes a single property's environment across six channels — five evidence-mapped (Air, Light, Noise, Thermal, Nature) plus a candidate Microbiome channel under investigation — at the resolution of the dwelling itself, and that is designed to be paired longitudinally with the same occupants' biological markers. Critically, the environmental half of the instrument is already operating: a live property-resolution reading system and a design-build practice that generates dated, field-measured interventions. The contribution here is the method for pairing that operating environmental record with human biology, and a pre-registered test. We describe the channel definitions and their supporting literature, a source-agnostic scoring method that does not require in-dwelling sensors for every property, and a pre-registered within-person (aggregated n-of-1) validation program in which dated environmental interventions are tested against continuously measured human outcomes. Sensorial Performance is offered as an open instrument: a structured way to ask, for a given property and a given person, whether improving the environment measurably improves the body that lives in it.
Authors
- Dorian Dégagé (ORCID: https://orcid.org/0009-0001-9247-6668)
Institutions
- Eon Corporation (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-28
- DOI
- https://doi.org/10.5281/zenodo.20993533
- Primary Topic
- Indoor Air Quality and Microbial Exposure
- Type
- preprint