Accessibility Challenges of Expansive Outside Spaces for Persons with Blindness or Visual Impairment: Effectiveness of Guidance Lines in Winter Conditions
Notice bibliographique
Résumé
Site design criteria for wide open spaces are often based on aesthetic concerns and safe crowd movements. These criteria consequently led the designers of the Montreal Place of Festivals to suggest levelling sidewalks and streets and prohibition of vehicle traffic during the warm season (six months). Use of guidance tiles has been proposed and its relevance examined by the Accessibility Committee since blind people were losing cues normally used for traveling in a straight line and for localizing street corners. Though many countries install tactile surfaces in such areas in order to facilitate travel by the blind or visually impaired persons, the effectiveness of these surfaces in cities with long winter periods has not been demonstrated. Also, guidance lines have not yet been applied in North America. This pilot project intended to test the effectiveness of this type of application in winter conditions. The objectives of the project were (1) to assess the capability of a blind person to maintain a straight line of travel by shorelining guidance tiles in a winter situation, (2) to document the usefulness of the attention field in identifying an intersecting passageway composed of guidance tiles, and (3) to identify strategies used by participants while shorelining the tiles. A testing site has been installed in a wide open space surrounding a major subway station. Guidance tiles (polymer, 300mm wide), were casted-in place in two T-shape passageways. An attention field (600mm X 600 mm) composed of truncated domes has been installed at the intersection of one T-shape passageway. The experimentation was conducted during cold days, tiles and adjacent areas were covered by snow. Two groups of participants were recruited. Group one was composed of 24 cane user blind adults and group two was composed of 12 O&M specialists wearing a blindfold. Each participant had to perform four tasks: (1) detect the starting point of a guidance pathway from a street corner, establish contact with the pathway and shoreline it over a 5-meter long route, (2) execute a L-shape route having an attention field only as a cue to identify the intersecting passageway, (3) execute a L-shape having an attention field and the perpendicular passageway as cues, and (4) execute the L-shape route having only the perpendicular guidance pathway as a cue. Strategies used by participants were noted. An appreciation questionnaire was submitted following completion of the tasks. Preliminary results seem to indicate that tiles were difficult to detect and to shoreline when covered by snow. Results from task one indicate that 55% of participants succeeded in detecting the pathway and in establishing and maintaining contact over 5 meters. With regard to tasks 2, 3, and 4, the results were respectively 39%, 25%, and 17% with a criterion success of 3 successful L-route executions over 4. Detection of the intersecting pathway was the main issue independently of the cue offered. Feet placement and cane strategies were various. Participants reported that use of guidance tiles was tiring and not effective during winter. However, participants expressed their appreciation for the use of this design in more clement seasons.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».