Designing Collaborative Technology for Intergenerational Social Play over Distance
Bibliographic record
Abstract
Collaborative play not only provides entertainment but also nurtures connections and strengthens community ties. In family and intergenerational contexts, collaborative activities and play can engage family members in quality conversations and meaningful connections over distance. To explore participants' preferences, practices, and interaction dynamics when playing remotely, we conducted a design probe study with 15 groups of parents and children from 16 families. Our findings highlight both similarities and notable differences in the use of communication methods, workspaces, and objects between parents and children. Specifically, we observed distinct patterns in gestural and verbal communication and identified specific challenges encountered by children in a simulated remote setting. Our findings also revealed the dynamics of play sessions, particularly when co-located participants are involved, shedding light on the complexities of remote intergenerational communication and play. Our work contributes empirical insights into designing more effective and engaging remote collaborative platforms for families.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".