Global Positioning System Reference
In-Depth Information
Fig. 10.
Screenshots of Android pilot application. (a) Map with an example of a route. (b)
User preferences. (c) Preferred POIs types. (d) Preferred food types.
Color image of this figure appears in the color plate section at the end of the topic.
The fi rst screenshot of Fig. 10 shows an example of a route in
Barcelona
city. The pushpins are the points of interest selected by the personalization
algorithm, which are data extracted from
tourism ontology
. Green pushpin
is the next point of interest the user will visit, the red fl ag represents a POI
already visited and the grey pushpins represent the other points of the route.
The blue line is the path calculated by the routing algorithm.
The other screenshots of Fig. 10 show some of the preferences of the
user, which are the same detailed on
personal ontology
(Fig. 5).
Evaluation
To evaluate the proof of concept, 20 tests have been performed taking into
account several roles and personal situations:
• Man alone
• Woman alone
• Family with babies
• Family with children
• Group of friends
• Young couple
• Middle age couple
• Elderly couple
We have also included roles with mobility problems and travelling with
pets. Several starting times have also been taken into account: early in the
morning, during the day and late in the night.
The test have been developed in the 22@ district of Barcelona, near
some important touristic points like
La Sagrada Familia
,
Torre Agbar
and
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