Skip to main content

Research Repository

See what's under the surface

Advanced Search

Making tourist guidance systems more intelligent, adaptive and personalised using crowd sourced movement data

Basiri, Anahid; Amirian, Pouria; Winstanley, Adam; Moore, Terry

Authors

Anahid Basiri

Pouria Amirian

Adam Winstanley

Terry Moore



Abstract

Ambient intelligence (AmI) provides adaptive, personalized, intelligent, ubiquitous and interactive services to wide range of users. AmI can have a variety of applications, including smart shops, health care, smart home, assisted living, and location-based services. Tourist guidance is one of the applications where AmI can have a great contribution to the quality of the service, as the tourists, who may not be very familiar with the visiting site, need a location-aware, ubiquitous, personalised and informative service. Such services should be able to understand the preferences of the users without requiring the users to specify them, predict their interests, and provide relevant and tailored services in the most appropriate way, including audio, visual, and haptic. This paper shows the use of crowd sourced trajectory data in the detection of points of interests and providing ambient tourist guidance based on the patterns recognised over such data.

Journal Article Type Article
Journal Journal of Ambient Intelligence and Humanized Computing
Print ISSN 1868-5137
Electronic ISSN 1868-5145
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
APA6 Citation Basiri, A., Amirian, P., Winstanley, A., & Moore, T. (in press). Making tourist guidance systems more intelligent, adaptive and personalised using crowd sourced movement data. Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-017-0550-0
DOI https://doi.org/10.1007/s12652-017-0550-0
Keywords Ambient services, Tourist guidance, Trajectory data mining, Touristic point of interest, Spatio-temporal data
Publisher URL https://link.springer.com/article/10.1007/s12652-017-0550-0
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

Files

J Amb Int Human Computing 2017.pdf (1.7 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0



You might also like



Downloadable Citations

;