Understanding Smartphone Notifications’ Activity Disruption via In Situ Wrist Motion Monitoring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The disruptive nature of smartphone notifications and their negative impact on users’ productivity are well documented. The majority of these results either originate from controlled laboratory studies, or protocols relying on subjective self-reporting, reducing their ecological validity. This paper presents results from a full day in situ study investigating the impact of perceiving one’s smartphone notifications on wrist motion patterns. Through this objective behavioral assessment, we document for the first time the manifestations of notification-induced disruption outside of the lab, independently of user activity and without the need for self-reporting. We identified a decrease in wrist motion activity following the presentation of a notification while the participant was engaged in higher intensity activities, independently of whether the notification is immediately attended to. These findings provide objective support for the claim that notifications have as much potential for disruption when merely perceived as they do when the user actually responds to them.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it