Dynamic Travel Guide System for Real-Time Route Adaptation
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Solution Overview
Problem
Current travel guides are static and limited in coverage, failing to account for user preferences, situational context, and dynamic travel routes, leading to a non-satisfactory guiding experience.
Innovation Solution
A method for creating and delivering dynamic, customizable travel guides that gather and process data from various sources, using user inputs and historical behavior to generate context-specific content in real-time, covering any location and adapting to user needs and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-created static travel guides are used, then the guide content is ready and available, but the coverage is limited to specific predefined routes and locations
Solution Approach 1:
The patent transforms static pre-created guides into dynamic guides that are generated in real-time based on the user's current location, route, and preferences. The guide content adapts dynamically as the user moves, providing 100% route coverage rather than being limited to predefined paths.
Solution Approach 2:
The system changes multiple parameters simultaneously: it adjusts the guide content based on user location, modifies the information presented based on user preferences, and adapts the guide structure based on the actual route taken. This allows the guide to serve any route while maintaining personalized relevance.
2Ease of operation
If static travel guides follow predefined routes, then the guide delivery is straightforward, but the user cannot receive the guide wherever they go
Solution Approach 1:
The guide system becomes universal by working with any route and location rather than being restricted to predefined paths. It serves multiple functions: providing navigation-based guidance, offering location-specific information, and adapting to user preferences all within a single flexible framework.
Solution Approach 2:
The system dynamically determines guide content based on the user's actual location and route at any given moment, rather than following a fixed script. This allows the guide to be delivered wherever the user goes while maintaining ease of operation through automatic adaptation.
3Device complexity
If the same guide is delivered to all users, then the guide creation process is simple, but user preferences and contextual needs are not taken into account
Solution Approach 1:
The guide system applies local quality by tailoring the information content to each user's specific preferences, historical behavior, and contextual needs. Different users receiving the same guide information would experience different content based on their individual profiles and current situation.
Solution Approach 2:
The system incorporates feedback loops that learn from user interactions, historical behavior, and explicit preferences to continuously improve personalization. This feedback mechanism allows the guide to adapt to individual users while maintaining a relatively simple underlying creation process.
4Reliability
If manual guide preparation is used, then the guide content can be curated, but the same guide information is served repeatedly without new content
Solution Approach 1:
The system generates new guide content dynamically based on the user's current route and location rather than replaying static manual content. This ensures that even when users take the same route multiple times, they can receive different or updated information based on real-time data and evolving content sources.
Solution Approach 2:
The system performs preliminary actions by gathering and processing information from multiple sources in advance, then combines this pre-processed data with real-time user context to generate personalized guide content. This approach maintains content quality through careful curation while enabling variety through dynamic assembly.
Data Source
AI summary
The invention is a method and system of creating and delivering dynamic and customized tour guides to a user through an electronic device. The system takes into account factors including the speed, direction of movement, and geographical location of a user's electronic device along with a user's preferences, and calculating a timeframe in which a user will be in proximity to a point of interest to create and deliver a customized and tailored tour guide experience. The system and method is scalable and allows a multitude of individual users simultaneously have individually tailored tour guides delivered to them covering a broad range of topics including architecture, history, surrounding nature, and current events of points of interest along a user's pre-defined or predicted user route.