Abstract
Abstract. Providing mobile map users with relevant information about their surroundings based on their current trajectory is a necessary next step in providing them with the information they need or want without requiring direct interaction with the map, which can be dangerous or distracting, as well as time-consuming and annoying. Providing these recommendations requires integrating spatial information from the mobile device’s GPS chip with attributes about the underlying map and point of interest (POI) data, as well as the preferences and goals of the user. The Flyover Country app provides a relatively contained test case for the development of predictive software for recommending current and upcoming POIs during travel.
Highlights
University of Minnesota (USA) Keywords: mobile, predictive, offline, app, poi, Flyover Country, user experience, trajectory, recommendation Introduction: Providing mobile map users with relevant information about their surroundings based on their current trajectory is a necessary step in providing them with the information they need or want without requiring direct interaction with the map, which can be dangerous or distracting, as well as time-consuming and annoying
To provide recommendations for users, and to better surface the most valuable content on the map, a spatial algorithm taking into account the location, speed, altitude, and heading of the user, in concert with attributes associated with the content is being developed to rank nearby and upcoming point of interest (POI) and present them to the user
A list of prominent upcoming features are distilled from the overall group based on their position relative to the current direction of travel of the aircraft, vehicle, or hiker
Summary
University of Minnesota (USA) Keywords: mobile, predictive, offline, app, poi, Flyover Country, user experience, trajectory, recommendation Introduction: Providing mobile map users with relevant information about their surroundings based on their current trajectory is a necessary step in providing them with the information they need or want without requiring direct interaction with the map, which can be dangerous or distracting, as well as time-consuming and annoying. Providing these recommendations requires integrating spatial information from the mobile device’s GPS chip with attributes about the underlying map and point of interest (POI) data, as well as the preferences and goals of the user.
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