AI*HCI talk
2 likes1,903 views
This document proposes a framework for personalizing cultural tourism itineraries in smart cities. The framework includes an interactive wall display to allow users to create personalized itineraries, a mobile app to access and modify itineraries, and an application server to store user profiles and recommendation engines. The server collects data from user interactions to provide customized recommendations and updates to itineraries. The goal is to enhance the travel experience through personalized planning, real-time updates, and multi-device experiences that adapt to individual user needs and interests. Future work could expand recommendation techniques and integrate augmented reality systems.
AI*HCI talk
- 1. A Framework for Itinerary Personalization in Cultural Tourism of Smart Cities G. D'Amico, S. Ercoli, A. Del Bimbo
- 2. Roadmap of cultural tourism approaches tourism approaches ~2005s multimedia guide ~1995s audio/video guide ~1985s tourist guide - more than traditional guide - audio/video/textual content - recorded spoken commentary - user hight interaction - multiple systems - area-specific qualification - alternative content - personal knowledge corresponding to different - historical and contemporary personal preferences heritage interpretation today: new tools - mobile location-based systems - social media platforms - e-commerce web-sites - augmented reality systems
- 3. Smart Tourism ‣ Objectives - understanding of users needs during the visit - capability to adapt services and information to users requests and needs - time optimization - quality of information ‣ Objectives are also critical aspects ‣Where ? - Smart city infrastructures offer more integrated opportunities to support sustainable economic development - Cities of art, in particular, are a special context where such opportunities can be experimented ‣With - web mapping services to track users and suggest information - mobile tourism location-based services - augmented reality applications
- 4. Main Idea and Workflow ‣ Prototype of a framework to personalize visit in a city - different devices (wall mounted touchscreen, dedicated mobile application) ‣ Customized itinerary in daily basis ‣ Easy definition of a visiting plan ‣ Capability of making changes or update to plan during the visit ‣ Adapt travel experience to the individual user requirements at different stages of the visit ‣Goals - living a multiple environment and multi device experience - improve users travel as a learning practice - give the opportunity to discover and visit resources of a geographical area
- 5. System Framework ‣ User finds information at the visitor center through a wall interactive display - defines a personalized plan of visit ‣ Personal plan is viewed through personal mobile device - functions that allows advanced services as well as modification of the plan ‣ Application Server Platform collects datas and personal user profiles - provides functions for access and distribution of information
- 6. System Framework: Application Server Platform ‣ System Core - database system connected - mapping services connected - web services ‣ Mapping Layer - provide geographical information ‣ Users Profiles Layer - profile individual user interests ‣ Contents Layer - provide multimedia contents ‣ Recommendation Engine - provide useful recommendations
- 7. Application Server Platform: Mapping Layer ‣ Implements web map services functions ‣ Extracts and understands geographic data ‣ Guarantees real-time and dynamic data update
- 8. Application Server Platform: Users Profiles Layer ‣ Archives all data from user session (through display or mobile) ‣ Creates related user profile ID and send it to mobile app ‣ Implements additional functions to update itineraries with mobile app
- 9. Application Server Platform: Contents Layer ‣ Composed of database with geographic data and metadata descriptions ‣ Cooperates with mapping layer services ‣ Implements functions to send geo info and metadata to display and mobile app
- 10. Application Server Platform: Recommendation Engine ‣ Implements a set of web services for users ‣ Elaborates data coming from mobiles devices ‣ Provide recommendation of points end extra contents (location/interests based)
- 11. System Framework: Wall Interactive Display (1/2) ‣ Large touchscreen device (Natural Interaction System) ‣ Natural interactivity over a map of the town ‣ Allowing user to select most interesting locations and create a visit plan ‣ Offers some detailed information of the location ‣ Suggests location of potential interest ‣ Shows expected duration of the visit in real-time ‣ Google Maps API to update data in real-time
- 12. System Framework: Wall Interactive Display (2/2) ‣ QR-Code generation process - unique ID to identify current user - custom url for each user - ensure consistency - link between desktop and mobile
- 13. System Framework: Mobile System (1/2) ‣ User “active” mobile application reading QR- Code with smartphone - dedicate URL - connection to Application Server Platform - download userID to identify personal visit plan ‣ Web-Application approach - not installation required - not updates required - platform and device independent - user experience optimization ‣ Run via native browser of any smartphone ‣ Itinerary divided into distinct days of visit ‣ Persistent local storage of data
- 14. System Framework: Mobile System (2/2) ‣ Simple and usable user interface ‣ Points of interest (POI) displayed into a map ‣ Complete personalization of visit plan - adding/removing points - adding/removing reference hotel ‣ Recommendation engine - nearby locations (haversine formula) - user interest locations
- 15. Conclusions ‣What has been done - framework to enhance travel experience - natural interaction system to create an itinerary using a wall display - web application platform to collect and process data - mobile application to provide personalized informations to each user ‣Future works - improve and add new recommendation techniques - adding new functions like museum booking through mobile application - include indoor and outdoor augmented reality systems