System to Provide Users with Impromptu Conversation Summaries and Make Conversational Recommendations, with an Emphasis on Personal Customization, Based on Previous Conversations
Publication Date: 2016-Jun-24
The IP.com Prior Art Database
Disclosed is a system and application that captures the user's conversation details through speech to text technologies and applied Natural Language Processing, and then stores this information for the user to access (through push or pull methods, and accessed via a mobile device) in future conversations. The application also uses the context of the conversation to gather important information to present to the user as a reminder during the next interaction with a given individual.
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System to Provide Users with Impromptu Conversation Summaries and Make Conversational Recommendations, with an Emphasis on Personal Customization , Based on Previous Conversations
With the advance of social networking and related technologies, people are connecting to others in new, faster ways, and are connecting to greater numbers of people. Now, people have greater difficulty caring for relationships on an individual level; humans are often unable to recall details from previous conversations with new acquaintances. Within huge social networks, it is easy for simple details to become lost. Not knowing someone's name or remembering important past discussions is a roadblock to building a trusting relationship. Most of the time, forgetting bits of personal information is simply a result of a person's inadequate memory and collection of too many contacts, which makes it difficult to individually care for each member of a social or professional network. This is impedes the advancement of both social and professional relationships.
A method is needed to assist people with building and maintaining relationships, despite a growing social network, by helping fill in some of the details. Specifically, a method is needed to help a person recall details (e.g., name, where the two met, employment, etc.), learned in conversation, about another person during a first interaction when the two people interact for the second time.
The novel contribution is a system and application that captures the user's conversation details through speech to text technologies, and then stores this information for use in future conversations. The application also uses the context of the conversation to gather important information to present to the user as a reminder for the next interaction. This system can be realized through a mobile device (e.g., tablet, smart phone, etc.) or wearable technology (e.g., smart watch). The scope of this disclosure focuses on collecting user preferences through the application settings and making subsequent recommendations.
The system applies to in-person conversations, phone conversations, conferences, online video, and any other form of communication that involves verbal communication, whether virtual or in-person. In addition, the system captures input such as other individuals participating in the conversation, how the conversation started (e.g., was it an introduction or did User B randomly approach User A), where the conversation occurred, etc. The system is not only for one-on-one conversations, but also for any type of verbal communication to/from the main user.
This system approaches the problem from an automated point of view, which pushes information to the user, but can also accommodate manual use cases in which the user directly requests information (e.g., a person's address).
By integrating with social media, the application also pulls publically available information to present to the user (e.g., photograph, job...