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Record W6999590054

THE CROSS-SENSORY GLOBE: Co-Designing a 3D Audio-Tactile Globe Prototype for Blind and Low-
\nVision Users to Learn Geography

2019· other· en· W6999590054 on OpenAlexfundno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlobeAffordanceBrailleCitizen journalismAudio equipmentPartially sightedGeoreference
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0050.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.051
GPT teacher head0.340
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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