Exploring the Reflective Potentialities of Personal Data with Different Temporal Modalities
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
We describe a long-term field study of Olo Radio, a music player that lets people re-experience digital music they have listened to previously. Olo Radio offers different 'timeframe modes' for organizing one's personal listening history data, and for exploring possible connections among songs and across time. We deployed 5 Olo Radios in 5 households for 8 months to understand participants' experiences over time. Our goals are to: (i) investigate the reflective potentialities of personal data for memory- oriented music listening and (ii) empirically explore conceptual propositions related to slow technology. Findings revealed Olo Radio became highly integrated in participants lives and triggered reflection on past life experiences. They also showed that Olo Radio was perceived to subtly change over time, and open up different ways of experiencing time. Findings are interpreted to present opportunities for future HCI research and practice.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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