Usability of a navigation application for travel in Quebec City with wheeled mobility device and, further validation of the Evaluation of satisfaction with geospatial assistive technology
Bibliographic record
Abstract
Purpose Knowledge of route accessibility is indispensable for “wheeled mobility device” users to travel safely and efficiently; however, current navigation technologies hardly provide adapted information for this population. Aims of the study were to collect data on the usability of a navigation application and to propose a version 1.0 of the Evaluation of satisfaction with geospatial assistive technology (ESGAT), by addressing the criterion, construct and cross-cultural validities.Method A filmed field trial and a methodological study were conducted in parallel. Thirty wheeled mobility device users were filmed planning and making a 10-minute known journey using the HERE WeGo app. The ESGAT, ÉSTGA (French version) and the Computer System Usability Questionnaire were administered. A video observation grid addressed the effectiveness and efficiency during the journey. Descriptive, correlation and multiple match analyses were performed.Results Fourteen men and 16 women averaging 45.9 years old tried out HERE WeGo; 14 were powered wheelchair users. Usability of the app was moderate (good effectiveness, moderate efficiency and quite satisfied). The criterion validity of the ÉSTGA was good (r = 0.598; p < 0.001). The construct validity was average considering the results for factor 1 (α = 0.789, acceptable), factor 2 (α = 0,586, low) and factor 3 (α = 0.409, unacceptable). The cross-cultural validity (French vs English) was moderate (r = 0.861; p < 0.001).Conclusion ESGAT and ÉSTGA 1.0 questionnaires are now available in English and French with a total mean score (11 items), an informatics subscore (mean of 5 items) and a geomatic subscore (mean of 6 items). Their validation should be pursued with new navigation applications. IMPLICATIONS FOR REHABILITATIONClinicians should ask their clients using a wheeled mobility device to test navigation applications to ensure their safety and complete the Evaluation of satisfaction with geospatial assistive technology (ESGAT 1.0), also available in French.Clinicians should inquire about satisfaction for items addressing informatics (Ease of access, Learnability, Hands-free function, Ease of use, Transportability and Appearance) and items addressing geomatic (Content, Geographic information, Effectiveness, Efficiency, Real-time navigation assistance, Aspect of security).Rehabilitation clinicians should inquire about the efficiency of the navigation app, considering avoiding or announcing potential obstacles such as: travelling on the street for a long portion of the trip and not on the sidewalk; verbal indication too soon or too late; incorrect indication; damaged, and congested sidewalk.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".