Google llc (20240112679). PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS simplified abstract
Contents
- 1 PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS - 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
PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS
Organization Name
Inventor(s)
Vladimir Vuskovic of Zollikerberg (CH)
Adrian Zumbrunnen of Zurich (CH)
Lucas Mirelmann of Zurich (CH)
PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112679 titled 'PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS
Simplified Explanation
The patent application describes methods, apparatus, and computer-readable media related to automated assistants that proactively incorporate unsolicited content of potential interest to a user into human-to-computer dialog sessions.
- Automated assistants can identify information or actions of potential interest to the user based on user characteristics.
- Unsolicited content indicative of the identified information or actions is generated and incorporated into the dialog session by the automated assistant.
- This proactive incorporation is triggered when the assistant has responded to all natural language input from the user during the session.
Potential Applications
This technology could be applied in customer service chatbots, virtual personal assistants, and online shopping platforms to enhance user experience and provide personalized recommendations.
Problems Solved
This technology solves the problem of users having to actively seek out information or actions of interest, as the automated assistant proactively presents relevant content during dialog sessions.
Benefits
The benefits of this technology include improved user engagement, increased user satisfaction, and more efficient information delivery tailored to individual user preferences.
Potential Commercial Applications
The technology could be utilized in e-commerce websites, customer support services, and educational platforms to offer personalized recommendations and enhance user interaction.
Possible Prior Art
One possible prior art could be the use of recommendation systems in online platforms to suggest content based on user preferences. However, the proactive nature of incorporating unsolicited content into dialog sessions distinguishes this technology.
Unanswered Questions
How does the automated assistant determine the characteristics of the user to identify potential interests?
The abstract mentions that the assistant identifies information or actions based on user characteristics, but it does not specify the methods or algorithms used for this determination.
What types of unsolicited content are generated and incorporated into the dialog sessions?
The abstract mentions generating unsolicited content indicative of information or actions of potential interest, but it does not provide examples or specifics on the content types.
Original Abstract Submitted
methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. in various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session. in various implementations, the incorporating may be performed in response to the determining that the automated assistant has responded to all natural language input received from the user during the human-to-computer dialog session.
