Ecological momentary assessment captures experience close to the moment and in natural settings, reducing some problems of retrospective recall.

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Shiffman, Stone, and Hufford review ecological momentary assessment as repeated sampling of current behavior and experience in real-world environments, designed in part to reduce recall bias and preserve temporal and contextual information.

EMA does not eliminate measurement error, guarantee that every relevant pattern will be noticed, or mean retrospective reports are useless.

The chapter borrows the methodological logic rather than prescribing formal EMA. The Human OS application is to observe signals and sequences close enough to occurrence that retrospective smoothing does not erase them.

Broad, mature principles of human biology, behavior, or regulation supported across a substantial body of research.

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This claim connects to the following parts of the Human OS architecture. The module labels locate the claim inside the framework; they do not imply that the research source validates the architecture itself.