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Record W2071947880 · doi:10.1145/1923947.1923963

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2010· article· en· W2071947880 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceVisual fieldDashboardInterface (matter)Field (mathematics)Human–computer interactionProcess (computing)Information processingComputer visionArtificial intelligenceData scienceCognitive psychologyPsychology

Abstract

fetched live from OpenAlex

Paradoxically, recent increases in the physical size and resolution of displays have introduced new challenges for interface design over a wide field of view. Since the visual system processes information very differently depending on whether it is presented in the central or in the peripheral regions of the visual field, the effectiveness of our ability to process information at large visual angles is largely unknown. Whether processing capability varies significantly in the periphery of computer displays is an unsettled question. An answer to this question could guide the development of best practices for the spatial arrangement of information in large displays. In our experiment, we show that information presented in the left visual field is processed faster and more accurately than in the right visual field. This difference suggests that more important information and data requiring immediate attention or rapid processing should preferably be presented in the left visual field. We discuss potential applications of our results using the dashboard interface with two examples: real-time stock market monitoring and the arrangement of gadgets on personalized pages.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.999

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)0.0020.001

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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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

Quick stats

Citations5
Published2010
Admission routes2
Has abstractyes

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