Abstract
While digital maps support interaction via pinch and zoom operations, such operations expand the region based on a fixed radius and does not take into account factors like region boundaries, or region peculiarities such as presence/absence of points of interest in the region. Selecting a particular region near a point of interest and performing searches within the selected region is also difficult. This disclosure describes intuitive user interaction techniques that enable users to select regions of interest within digital maps corresponding to a location hierarchy based on geographical context and nuance. Specifically, an outward drag gesture from a point of interest results in selection of progressively larger regions, with each selection snapping to a particular level of a hierarchy. An inward drag gesture similarly results in progressively smaller regions. Further, a large language model (LLM) or other generative artificial intelligence (genAI) is utilized to analyze the selected map region, provide region-specific insights, including personalized insights if the user permits access to user information for such personalization. The techniques can enable users to easily select specific map regions and obtain relevant information.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Babu, Manasa, "Digital Map Region Selection for Effective Location-Based Filtering and Insight", Technical Disclosure Commons, (October 16, 2024)
https://www.tdcommons.org/dpubs_series/7434