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Record W1971283931 · doi:10.1145/2460625.2460655

FlexView

2013· article· en· W1971283931 on OpenAlex
Jesse Burstyn, Amartya Banerjee, Roel Vertegaal

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsQueen's University
Fundersnot available
KeywordsZoomPanning (audio)Computer scienceGestureComputer graphics (images)Task (project management)Mobile deviceComputer visionSet (abstract data type)Artificial intelligenceEngineeringPhysicsOptics

Abstract

fetched live from OpenAlex

We present FlexView, a set of interaction techniques for Z-axis navigation on touch-enabled flexible mobile devices. FlexView augments touch input with bend to navigate through depth-arranged content. To investigate Z-axis navigation with FlexView, we measured document paging efficiency using touch, against two forms of bend input: bending the side of the display (leafing) and squeezing the display (squeezing). In addition to moving through the Z-axis, the second experiment added X-Y navigation in a pan-and-zoom task. Pinch gestures were compared to squeezing and leafing for zoom operations, while panning was consistently performed using touch. Our experiments demonstrate that bend interaction is comparable to touch input for navigation through stacked content. Squeezing to zoom recorded the fastest times in the pan-and-zoom task. Overall, FlexView allows users to easily browse depth arranged information spaces without sacrificing traditional touch interactions.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.010

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 head0.007
GPT teacher head0.220
Teacher spread0.213 · 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

Citations30
Published2013
Admission routes1
Has abstractyes

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