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Record W2334146296 · doi:10.1177/154193120204600124

Ecological Interface Design in Aviation Domains: Work Domain Analysis and Instrumentation Availability of the Harvard Aircraft

2002· article· en· W2334146296 on OpenAlexaff
Roshanak M. Nadimian, Scott Griffiths, Catherine M. Burns

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2002
Typearticle
Languageen
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAviationDomain (mathematical analysis)Instrumentation (computer programming)Work (physics)Interface (matter)Computer scienceProcess (computing)Domain analysisPhase (matter)Systems engineeringAeronauticsOperations researchEngineeringAerospace engineeringMechanical engineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

This paper applies Work Domain Analysis (WDA) to the aviation domain. We developed a two-dimensional work domain model of the Harvard aircraft as the primary phase of our Ecological Interface Design (EID) process. In contrast to previous work, we modelled the entire aircraft as the work domain. The work domain analysis was followed by an instrumentation availability analysis. We developed a model for the variables derived from the WDA to classify the state of those variables according to their availability and measurement. We also have the opportunity, in our future work, to flight test the ecological displays, something that has not occurred before.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.279
Teacher spread0.253 · 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 designObservational
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

Citations12
Published2002
Admission routes1
Has abstractyes

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