17809286. COMPUTER TECHNOLOGY FOR CONTROLLING DIGITAL TWIN SIMULATION IN VOICE ASSISTANT DEVICES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
COMPUTER TECHNOLOGY FOR CONTROLLING DIGITAL TWIN SIMULATION IN VOICE ASSISTANT DEVICES
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Shilpa Bhagwatprasad Mittal of Pune (IN)
Sarbajit K. Rakshit of Kolkata (IN)
COMPUTER TECHNOLOGY FOR CONTROLLING DIGITAL TWIN SIMULATION IN VOICE ASSISTANT DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17809286 titled 'COMPUTER TECHNOLOGY FOR CONTROLLING DIGITAL TWIN SIMULATION IN VOICE ASSISTANT DEVICES
Simplified Explanation
The abstract describes a computer technology that uses digital twin simulation to improve the precision and accuracy of query responses in a virtual assistant system. Here are the key points:
- The technology receives a query and a desired level of precision and/or accuracy associated with the query.
- It determines if the desired level exceeds a predetermined threshold.
- If the desired level exceeds the threshold, the system applies digital twin simulation to a digital twin data set to improve the precision and accuracy of the query response.
- The improved query response is then outputted to the querying party, for example, as sound data in a voice assistant system.
- If the desired level is below the threshold, the digital twin simulation is not performed, resulting in a quicker response and lower computational power demands on the virtual assistant system.
- The precision and accuracy of the query response can be calculated based on the context.
Potential applications of this technology:
- Voice assistant systems: This technology can be applied to improve the precision and accuracy of voice-based query responses, making voice assistants more reliable and effective.
- Chatbots: Chatbot systems can benefit from this technology by providing more accurate and precise responses to user queries, enhancing the user experience.
- Customer support: Virtual assistant systems used in customer support can utilize this technology to provide more accurate and helpful responses to customer queries, improving customer satisfaction.
Problems solved by this technology:
- Lack of precision and accuracy: By applying digital twin simulation, this technology addresses the issue of inaccurate or imprecise query responses, ensuring that users receive the most relevant and reliable information.
- Computational power demands: By selectively applying the simulation based on the desired level of precision and accuracy, this technology reduces the computational power required for query processing, making the system more efficient.
Benefits of this technology:
- Improved user experience: By enhancing the precision and accuracy of query responses, users can rely on the virtual assistant system to provide more helpful and relevant information.
- Faster response times: By skipping the simulation when the desired level is below the threshold, the system can provide quicker responses, reducing waiting times for users.
- Efficient resource utilization: The selective application of digital twin simulation helps optimize computational power usage, making the virtual assistant system more resource-efficient.
Original Abstract Submitted
Computer technology that receives a query and a desired level of precision and/or accuracy (herein, a “p/a value”) associated with the received query, determines whether the p/a value exceeds a predetermined threshold, if the p/a value exceeds the predetermined threshold, then the virtual assistant system applies digital twin simulation to a digital twin data set in determining the query response to improve precision and/or accuracy of the query response, and outputs the query response to the querying party (for example, output as sound data in a voice assistant system). If the p/a value is below the threshold value, then the digital twin simulation is not performed, which makes the response quicker and puts less computational power demands on the virtual assistant system. In some embodiments, the virtual assistant system calculates the p/a value based on context.
