A Preliminary Analysis of Older Adults' Reactions to Design Concepts for Physical Activity Support
Bibliographic record
Abstract
Although older adults are motivated to engage in physical activity, their routines are often disrupted by a multitude of interrelated barriers, which are not addressed by current physical activity promoting technologies. To explore how technology might be better designed to promote physical activity in older adults living alone, we developed 15 design concepts envisioning digital and non-digital tools for supporting older adults in maintaining physical activity routines and then interviewed 15 participants on their preferences and reactions to the concepts. In this poster, we share preliminary findings on our participants’ reactions to the designs. While generally positive towards all concepts, participants identified most with a design aimed at providing alternative exercises in response to a health-related routine disruption and least with two concepts, which both involved sharing activity logs with others. As social accountability is a common feature of commercial tools, our findings help shed light on why existing physical activity promoting technologies have been critiqued by older adults as poorly aligned with their needs, further reinforcing calls for considering their unique needs for physical activity support.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".