Enhancing Tourist Experience via Automatic Personalized Route Suggestions
Author(s)
Date Issued
2024
Type
conferenceObject
Start Page
698
End Page
703
Abstract
Navigating the streets of an unfamiliar city in search
of points of interest (POIs) can be challenging for tourists
since they do not know the place. The challenge is even more
pronounced for foreigners who do not speak the language of the
visited city, making navigation and understanding local signage
more difficult. This article presents an approach for estimating
tourist routes and providing optimal routing services based
on the paths taken by other tourists and on their preferred
POIs, enriching the overall experience. To achieve this goal, an
algorithm has been designed. It is based on the Dijkstra’s one,
but is innovated by the application of two heuristics, namely
the tourists frequency and the POIs preference, which take into
account the routes tourists take through a city as they visit its
various monuments and POIs. This method aims to enhance the
experience of navigating unfamiliar urban environments, making
it easier for visitors to explore and discover attractions.
In order to evaluate this approach, over 200 routes from 53
different tourists have been monitored in the city of Viterbo
(Italy), and given as input to the designed algorithm in order
to optimize the final routes. Afterwards this approach has been
tested with 12 new tourists, to whom the system recommended
different paths based on the place of different POIs. The
satisfaction with the recommended routes was measured through
a questionnaire, yielding positive results.
Conference(s)
2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)