Abstract
Human conversations often involve discussion of various objects of interest, e.g., recommended restaurants or movies, items to buy, books to read, etc. However, to remember objects mentioned in a conversation, the participants need to write them down immediately. This disclosure describes the use of a virtual assistant to help users memorize objects of interest mentioned in a conversation. A participant can activate a virtual assistant and instruct it to identify and store objects of interest mentioned in a conversation. Upon receipt of the user command and permission to activate a microphone to listen to the conversation, the virtual assistant utilizes natural language processing to detect the mention of objects of interest and stores those in one or more categorized lists. At a later time, the user can ask the virtual assistant to retrieve the identified objects and cross-validate them with their historical location data for prioritization and personalization.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Guajardo, Jaime; Lanning, Gabi; and Boiarshinov, Dmitrii, "Automated Detection and Organization of Objects of Interest in Human Conversations", Technical Disclosure Commons, (May 31, 2022)
https://www.tdcommons.org/dpubs_series/5176