MétaCan
Menu
Back to cohort
Record W6966804948 · doi:10.4230/lipics.cosit.2024.30

Wheelchair Users Navigational Behavior: Insights from Eye Movement Data and Environment Legibility (Short Paper)

2024· article· en· W6966804948 on OpenAlexaff

Bibliographic record

VenueDROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2024
Typearticle
Languageen
FieldComputer Science
TopicGaze Tracking and Assistive Technology
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationCentre de Géomatique du Québec
Fundersnot available
KeywordsLegibilityEye movementWheelchairCognitionProcess (computing)Fixation (population genetics)

Abstract

fetched live from OpenAlex

This study aims to investigate how eye movement data and the legibility of the environment can help us to better understand the navigational behavior of wheelchair users (WCUs) in urban environments. For this purpose and through a field-based exploratory experiment, the legibility of a route was computed and compared with the visual behavior of two participants with different levels of wheelchair-using experience. The preliminary outcomes show the less experienced WCU has looked more intensively for information in the environment, while the more experienced one engaged in a deep cognitive process to maintain his safety. In addition, we have observed a correlation between the level of the legibility of the environment and the fixation duration and the frequency of saccades between fixations, likely leading to intensive cognitive processes in some situations. Based on these results and upcoming complementary experiments, we intend to better adapt the assistive navigation technologies for the mobility needs of WCU.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
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 communication0.0010.002
Open science0.0020.002
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 head0.023
GPT teacher head0.272
Teacher spread0.250 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDROPS (Schloss Dagstuhl – Leibniz Center for Informatics)Same topicGaze Tracking and Assistive TechnologyFrench-language works237,207