The Autobiographical Design and Long Term Usage of an Always-On Video Recording System for the Home
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
Photo and video capture is currently dominated by the use of digital cameras, often in the form of smartphones. Yet there is easily the chance that one can miss capturing a precious moment. We explored the idea of automated video recording in the home as a form of memory collection and display for families through the autobiographical design of Moments, an always-on video recording system. We iteratively designed Moments and it was used by one of the researchers and his family over a two-year period. The family found potential for the system in capturing moments that would have otherwise been forgotten in time, where they especially valued seeing "big changes" and minute details of their life. Yet tensions existed around the family's inabilities to access specific points in time, commitment to keeping the system running, and privacy. We use these benefits and concerns to suggest future research directions for always-on video recording in the home.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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