18514730. AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS simplified abstract (Google LLC)
Contents
- 1 AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS
Organization Name
Inventor(s)
Matthew Sharifi of Kilchberg (CH)
AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18514730 titled 'AUTOMATED ASSISTANT FOR FACILITATING COMMUNICATIONS THROUGH DISSIMILAR MESSAGING FEATURES OF DIFFERENT APPLICATIONS
Simplified Explanation
The patent application abstract describes an automated assistant that can respond to communications received via third-party applications and other communication modalities. The assistant can identify when a user is participating in multiple conversations across different services and select the most relevant conversation to provide input.
- The automated assistant can respond to communications from various third-party applications and communication services.
- It can determine when a user is engaged in multiple conversations and select the most relevant one to provide assistance.
- The assistant can analyze conversations to identify specific features and use this information to tailor its responses.
Potential Applications
This technology could be applied in customer service chatbots, virtual assistants for messaging apps, and automated email response systems.
Problems Solved
This technology helps users manage multiple conversations efficiently and ensures that the automated assistant provides relevant input based on the context of each conversation.
Benefits
Users can receive more personalized and helpful responses from the automated assistant, leading to improved communication experiences. The technology also streamlines the process of managing multiple conversations across different platforms.
Potential Commercial Applications
Potential commercial applications include integrating this technology into messaging platforms, customer service software, and email management tools to enhance communication efficiency and customer satisfaction.
Possible Prior Art
Prior art may include existing automated assistants that provide responses based on context or user interactions across different communication channels.
Unanswered Questions
How does this technology handle privacy and data security concerns?
The article does not address how the automated assistant ensures the privacy and security of user data when accessing and analyzing multiple conversations.
What are the potential limitations or challenges of implementing this technology?
The article does not discuss any potential obstacles or limitations that may arise when implementing this technology, such as compatibility issues with different third-party applications or communication services.
Original Abstract Submitted
Implementations relate to an automated assistant that can respond to communications received via a third party application and/or other third party communication modality. The automated assistant can determine that the user is participating in multiple different conversations via multiple different third party communication services. In some implementations, conversations can be processed to identify particular features of the conversations. When the automated assistant is invoked to provide input to a conversation, the automated assistant can compare the input to the identified conversation features in order to select the particular conversation that is most relevant to the input. In this way, the automated assistant can assist with any of multiple disparate conversations that are each occurring via a different third party application.
