Crowdsourcing of Accessibility Attributes on Sidewalk-Based Geodatabase - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2017

Crowdsourcing of Accessibility Attributes on Sidewalk-Based Geodatabase

Résumé

Although the issue of limited mobility affects a large portion of the population, current navigation systems working with roadway-based geodatabases are designed primarily for cars and therefore cannot efficiently help. Usage of the professionally created sidewalk-based geodatabase is a solution. However, the professional geographical “on-site reconnaissance” is labor demanding. In this poster, we report on results of preliminary research focused on a design of the gamified collection of accessibility attributes by non-expert crowd, which will reduce the data collection cost. Preliminary results suggest the feasibility of the approach supported by a proper guidance of non-experts and creativity of achieving precise measurements.
Fichier principal
Vignette du fichier
421765_1_En_46_Chapter.pdf (1.27 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01679789 , version 1 (10-01-2018)

Licence

Identifiants

Citer

Michaela Riganova, Jan Balata, Zdenek Mikovec. Crowdsourcing of Accessibility Attributes on Sidewalk-Based Geodatabase. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.436-440, ⟨10.1007/978-3-319-68059-0_46⟩. ⟨hal-01679789⟩
50 Consultations
105 Téléchargements

Altmetric

Partager

More