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Record W1987188617 · doi:10.1177/154193120805200452

Enhancing Operator Task Performance during Monitoring for Unanticipated Events through Ecological Interface Design

2008· article· en· W1987188617 on OpenAlexaff
Nathan Lau, Gyrd Skraaning, Greg A. Jamieson, Catherine M. Burns

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2008
Typearticle
Languageen
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsWorkloadTask (project management)Operator (biology)Scope (computer science)Nuclear power plantComputer scienceInterface (matter)Scale (ratio)Human–computer interactionSystems engineeringEngineeringOperating systemGeography

Abstract

fetched live from OpenAlex

A full scope simulator study with licensed Nuclear Power Plant (NPP) operators was conducted to evaluate the effectiveness of ecological displays in supporting operators with different types of tasks. The results suggest that ecological displays have a advantage in supporting operator performance during monitoring for unanticipated events as compared to mimic-based displays. Furthermore, ecological displays seem to achieve this performance advantage without imposing workload increases. This study provides supporting evidence that EID is effective at a scale and level of complexity representative of NPP operations.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.052
GPT teacher head0.321
Teacher spread0.270 · 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 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

Citations8
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Human Factors and Ergonomics Society Annual MeetingSame topicHuman-Automation Interaction and SafetyFrench-language works237,207