Retention and use of implicit measurement data should differ from user-initiated interaction data
Aliases: measurement versus command logs · implicit telemetry · attention log
What it is
Clicks, sends, and explicit dwell-confirms are user-initiated interaction, usually with some knowledge of the outcome. Gaze heatmaps, AOI durations, online attention estimates, are what the system measured while the user was only looking. The two must not enter the same retention and secondary-use pipe. Measurement data, even already aggregated as a heatmap, is not an authorized action log. That is separate from how sensitive eye tracking is as a sensor: that leaf asks what a trace can infer; this asks that data collected as measurement cannot borrow “they clicked, so they agreed to keep it.”
Why it happens
Initiated interaction has a pointable action time, an object, and often a consent (sending means knowing it went out). Implicit measurement has no matching action; the user may not know collection is happening. Sending measurement logs and click logs into the same analysis or model uses unconsented looking to explain consented clicks; the inference looks “better” and the sources are asymmetric.
Use should split too. Click logs can reasonably support “you bought this last time”; attention measurement should not support “you looked at this so we will push that,” unless the measurement itself was independently disclosed, switchable, and deletable. Using measurement for weak adaptation inside a session and discarding it is one way to keep measurement in the present; a cross-session profile is another, an order of magnitude riskier.
Studying it
Audit existing telemetry: which fields come from clicks/keys, which from gaze measurement, whether they enter the same table, model, and retention. User studies: after saying “we recorded the regions you looked at,” how many people think that is the same as “we recorded what you clicked”—evidence of bundled cognition. Legal language for “interaction data” often swallows measurement; a technical audit cannot follow that word. Ablating measurement data from training and seeing how much recommendation or automation remains reveals how dependent the product is on unconsented looking.
Where it stops holding
Purely local, throw-away-this-frame attention estimates (only driving this session’s weak adaptation) barely constitute retention, but notice that collection is happening is still due. A usability lab under independent consent may keep measurement; that consent does not automatically cover product telemetry. Command logs from assistive eye control are initiated interaction, even though the carrier is gaze, and should be governed as commands not as implicit measurement—provided the user knew that instance was a commit. On child accounts, measurement data should not cross sessions by default.
Applying it
- Split gaze-measurement fields from click/commit fields in storage, access, and controls; destroy measurement at session end by default; cross-session use needs its own switch.
- Do not treat “they used the product” as consent for secondary use of measurement; write secondary use in separate copy.
- Verify with a table, one row per field, tagged source (measurement / initiated interaction), retention, whether it enters a model; confirm no measurement field rides the initiated-interaction pipe.
Related
- Same group: C8.13.1 Gaze traces can infer currently attended UI regions without explicit action · C8.13.2 That inference reflects a possible locus of attention, not operational intent · C8.13.3 Using implicit attention to adapt the UI requires a clear boundary so it is not treated as command input
- Adjacent: C8.07 Sensitivity of eye-tracking data · C9.13 Informed consent and correction of implicit inferences
- Search:
implicit telemetry·consent·gaze log