Uncovering Parental Struggles: Using Digital Probes to Analyse Challenges in Applying Online Parenting Content
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
Understanding the situated challenges that people face when attempting to apply online parenting advice is crucial for building effective digital parenting supports. However, existing HCI methods do not enable researchers to capture the complete breadth of experience relevant to gathering experiential data on both behaviour change processes and lived experiences at scale. This article describes the full development process of adapting existing probe-like methods to capture data about these parenting experiences. We drew on a systematic review of existing probe-like methods and developed a digital probe through user-centred design involving parents. Our study included parent interviews (n = 15), online trials (n = 30, n = 200) and an evaluation of the probe alongside a UK National Health Service parenting intervention (n = 35). Our article contributes insights into how to adapt probes to collect rich parenting data, reveals the kinds of insights gathered and presents new considerations for designing digital parenting interventions that resonate with families.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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