Google llc (20240203413). SELECTING AN AUTOMATED ASSISTANT AS THE PRIMARY AUTOMATED ASSISTANT FOR A DEVICE BASED ON DETERMINED AFFINITY SCORES FOR CANDIDATE AUTOMATED ASSISTANTS simplified abstract
SELECTING AN AUTOMATED ASSISTANT AS THE PRIMARY AUTOMATED ASSISTANT FOR A DEVICE BASED ON DETERMINED AFFINITY SCORES FOR CANDIDATE AUTOMATED ASSISTANTS
Organization Name
Inventor(s)
Matthew Sharifi of Kilchberg (CH)
SELECTING AN AUTOMATED ASSISTANT AS THE PRIMARY AUTOMATED ASSISTANT FOR A DEVICE BASED ON DETERMINED AFFINITY SCORES FOR CANDIDATE AUTOMATED ASSISTANTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240203413 titled 'SELECTING AN AUTOMATED ASSISTANT AS THE PRIMARY AUTOMATED ASSISTANT FOR A DEVICE BASED ON DETERMINED AFFINITY SCORES FOR CANDIDATE AUTOMATED ASSISTANTS
- Simplified Explanation:**
The patent application discusses a method for selecting a primary automated assistant for a device connected to multiple other automated assistant devices. An affinity score is calculated for each candidate assistant, indicating their suitability for the device. The assistant with the highest score is chosen as the primary assistant, receiving priority when device resources are allocated.
- Key Features and Innovation:**
- Affinity score generation for candidate automated assistants
- Selection of primary automated assistant based on affinity score
- Prioritization of primary assistant for resource allocation
- Potential Applications:**
This technology can be applied in smart home devices, IoT ecosystems, and other connected device environments where multiple automated assistants coexist.
- Problems Solved:**
- Efficient selection of primary automated assistant
- Optimal allocation of device resources
- Seamless integration of multiple automated assistants
- Benefits:**
- Enhanced user experience with personalized assistant selection
- Improved device performance through resource prioritization
- Streamlined management of multiple automated assistants
- Commercial Applications:**
The technology can be utilized in smart home hubs, connected car systems, and industrial IoT setups to optimize assistant selection and resource allocation, enhancing overall device functionality and user satisfaction.
- Prior Art:**
Prior research in the field of automated assistant selection and resource management may include studies on AI algorithms for assistant prioritization and device resource optimization.
- Frequently Updated Research:**
Stay updated on advancements in AI algorithms for automated assistant selection, resource allocation strategies, and IoT ecosystem management to enhance the efficiency and effectiveness of this technology.
- Questions about Automated Assistant Selection:**
1. How does the affinity score impact the selection of the primary automated assistant? 2. What factors are considered when prioritizing the primary assistant for resource allocation?
Original Abstract Submitted
implementations related to selecting a primary automated assistant for a given automated assistant device that is connected to one or more other automated assistant devices in an ecosystem of connected devices. an affinity score is generated for each of a plurality of candidate automated assistants that are capable of executing on the automated assistant device. the affinity score of a given automated assistant for an automated assistant device is indicative of suitability of the automated assistant for the automated assistant device. one of the candidate automated assistants is selected as the primary automated assistant for the device. the primary automated assistant is prioritized when resources of the automated assistant device are allocated to automated assistants executing on the automated assistant device.
