THE CROSS-SENSORY GLOBE: Co-Designing a 3D Audio-Tactile Globe Prototype for Blind and Low- \nVision Users to Learn Geography
Bibliographic record
Abstract
This MRP presents a co-operatively and iteratively designed 3D audio-tactile globe that enables blind and low-vision users to perceive geo-spatial information. Blind and low-vision users rely on learning aids such as 2D-tactile graphics, braille maps and 3D models to learn about geography. I employed co-design as an approach to prototype and evaluate four different iterations of a cross-sensory globe that uses 3D detachable continents to provide geo-spatial haptic information in combination with audio labels. Informed by my co-design and evaluation, I discuss cross-sensory educational aids as an alternative to visually-oriented globes. My findings reveal affordances of 3D-tactile models for conveying concrete features of the Earth (such as varying elevations of landforms) and audio labels for conveying abstract categories about the Earth (such as continent names). I highlight the advantages of longitudinal participatory design that includes the lived experiences and DIY innovations of blind and low-vision users and makers.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".