This work presents users evaluation of mPASS (mobile Pervasive Accessibility Social Sensing), a system to provide citizens with personalized accessible way finding. mPASS collects data both from crowdsourcing and from crowdsensing, in order to obtain a detailed georeferenced description of the urban environment accessibility. It combines these data with a user profile, with the aim of tailoring paths and maps to users' preferences and needs. To drive the design of our application, we assessed our first proposal through a preliminary questionnaire, showing mPASS mockups to 60 uses with disability and elderly users. On the basis of the results of such questionnaire, we developed a prototype and we tested it with a small group of pilot users. This paper presents results of both the assessments.
Mirri, S., Prandi, C., Salomoni, P. (2016). Personalizing Pedestrian Accessible way-finding with mPASS. Institute of Electrical and Electronics Engineers Inc. [10.1109/CCNC.2016.7444946].
Personalizing Pedestrian Accessible way-finding with mPASS
MIRRI, SILVIA;PRANDI, CATIA;SALOMONI, PAOLA
2016
Abstract
This work presents users evaluation of mPASS (mobile Pervasive Accessibility Social Sensing), a system to provide citizens with personalized accessible way finding. mPASS collects data both from crowdsourcing and from crowdsensing, in order to obtain a detailed georeferenced description of the urban environment accessibility. It combines these data with a user profile, with the aim of tailoring paths and maps to users' preferences and needs. To drive the design of our application, we assessed our first proposal through a preliminary questionnaire, showing mPASS mockups to 60 uses with disability and elderly users. On the basis of the results of such questionnaire, we developed a prototype and we tested it with a small group of pilot users. This paper presents results of both the assessments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
