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Record W2070293902 · doi:10.1145/2559206.2579481

Ziklo

2014· article· en· W2070293902 on OpenAlexaff
Brianna Jean Huxtable, Carlo Ka-Ho Lai, Johnson Wen Jun Zhu, Paulina Mun-Yee Lam, Yeseul Choi, Carman Neustaedter, Greg Corness

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBluetoothMobile deviceComputer scienceHuman–computer interactionInterface (matter)User interfaceWirelessTelecommunicationsWorld Wide Web

Abstract

fetched live from OpenAlex

Ziklo is a tactile interface for wayfinding devices designed for cyclists. It is made up of two wristbands that vibrate to signal left and right turns. These wristbands are wirelessly connected to the user's mobile device via Bluetooth. An application on the mobile device hosts the wayfinding functionality and interface to control the wristbands. The wristbands consists of three vibration motors each, allowing for different vibration patterns and strengths to send different notifications. Ziklo's goal is to create an alternative interface for wayfinding devices that does not hinder the user's awareness when they are engaged in situations that demand their visual and/or auditory attention.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score0.549

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)0.0000.000

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 head0.003
GPT teacher head0.161
Teacher spread0.158 · 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 designOther design
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

Citations9
Published2014
Admission routes1
Has abstractyes

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