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Record W2965630837 · doi:10.21785/icad2019.051

Design and Evaluation of an Audio Game-inspired Auditory Map Interface

2019· article· en· W2965630837 on OpenAlexaff
Brandon Biggs, Peter Coppin, James M. Coughlan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsOntario College of Art and Design
FundersNational Institute on Disability, Independent Living, and Rehabilitation ResearchNational Eye InstituteNational Institutes of Health
KeywordsComputer scienceTask (project management)Interface (matter)Human–computer interactionSet (abstract data type)Index (typography)Speech recognitionMultimediaUser interfaceWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

This study evaluated a web-based auditory map prototype built utilizing conventions found in audio games and presents findings from a set of tasks participants performed with the prototype. The prototype allowed participants to use their own computer and screen reader, contrary to most studies, which restrict use to a single platform and a self-voicing feature (providing a voice that talks by default). There were three major findings from the tasks: the interface was extremely easy to learn and navigate, participants all had unique navigational styles and preferred using their own screen reader, and participants needed user interface features that made it easier to understand and answer questions about spatial properties and relationships. Participants gave an average task load score of 39 from the NASA Task Load Index and gave a confidence level of 46/100 for actually using the prototype to physically navigate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.270
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations15
Published2019
Admission routes1
Has abstractyes

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