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Record W2405603357

A tangible user interface for interactive data visualization

2015· article· en· W2405603357 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.

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2015
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsComputer scienceUser interfaceVisualizationHuman–computer interactionInterface (matter)Natural user interfaceData visualizationUser interface designSoftwareGraphical user interfaceTangible user interfacePost-WIMPUser experience designArtificial intelligenceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

We present a prototype for a Tangible User Interface (TUI) designed to interactively query a database. While much work has been done on TUI, showing that they encourage collaboration and positively enhance user experience, few tangible systems have been designed specifically for data analysis tasks. Our system combines a tabletop (non-digital) graspable user interface with a two-dimensional screen display; the user interrogates the data by placing tokens on or off the tabletop and the screen displays the results of the user's query. The objects are tagged using fiducial markers, which are identified with open-source ReacTIVision computer vision software, and the visualization code is written in Processing. We use radio station listenership demographic data for this prototype, but the system can be used to query any type of database.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.009
Open science0.0070.004
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 head0.209
GPT teacher head0.411
Teacher spread0.202 · 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