Dropbox had 11 patents in future of work during Q2 2024. Dropbox Inc’s patents in Q2 2024 focus on systems for determining chronotypes and providing scheduling timelines for users, a content management system that suggests subsequent text based on meeting transcripts, and a collaborative content management system that transcribes audio data, generates outlines, and associates hot words with actions in collaborative documents. These innovations aim to improve user efficiency and accessibility in managing and collaborating on content. GlobalData’s report on Dropbox gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Dropbox had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Determining chronotypes of users for display within a scheduling interface (Patent ID: US20240193549A1)
Dropbox Inc. has filed a patent for a system that determines chronotypes for users in different time zones and provides a graphical scheduling interface. The system identifies time zones, determines chronotypes based on various factors, and displays scheduling timelines for each user with visual representations of their chronotypes. Users can interact with the interface to generate calendar events based on time zones and chronotypes, improving scheduling efficiency and productivity. The method includes utilizing a chronotype machine learning model to determine chronotypes, generating visual representations of chronotypes, and providing options for finding experts, displaying additional timelines, and transitioning to different views like networking graphs or geographic maps.
The system, as described in the patent claims, involves identifying time zones, determining chronotypes using a machine learning model, and generating scheduling timelines with visual representations of chronotypes for users. It also includes features like quick links to communication applications, availability blocks, indications of synchronous and asynchronous availability, and resolving conflicts based on user availability and chronotypes. The non-transitory computer-readable medium instructions further detail functionalities such as identifying topics for calendar events, generating events using auto-scheduling machine learning models, and resolving conflicts based on user availability and chronotypes. Overall, the system aims to streamline scheduling processes by considering individual user preferences, work patterns, and historical productivity measures to enhance collaboration and efficiency within organizations.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
