Google llc (20240221748). ADAPTING AUTOMATED ASSISTANT FUNCTIONALITY BASED ON GENERATED PROFICIENCY MEASURE(S) simplified abstract
ADAPTING AUTOMATED ASSISTANT FUNCTIONALITY BASED ON GENERATED PROFICIENCY MEASURE(S)
Organization Name
Inventor(s)
Matthew Sharifi of Kilchberg (CH)
ADAPTING AUTOMATED ASSISTANT FUNCTIONALITY BASED ON GENERATED PROFICIENCY MEASURE(S) - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221748 titled 'ADAPTING AUTOMATED ASSISTANT FUNCTIONALITY BASED ON GENERATED PROFICIENCY MEASURE(S)
- Simplified Explanation:**
The patent application relates to generating a proficiency measure for specific automated assistant actions and using this measure to adapt the assistant functionalities based on the user's proficiency level.
- Key Features and Innovation:**
- Generating proficiency measures for automated assistant actions
- Adapting assistant functionalities based on proficiency levels
- Improving user-assistant interactions efficiency
- Tailoring adaptations to specific users or assistant devices
- Potential Applications:**
This technology can be applied in various automated assistant systems to enhance user experience and streamline interactions.
- Problems Solved:**
This technology addresses the challenge of personalizing automated assistant functionalities based on user proficiency levels, leading to more efficient and effective interactions.
- Benefits:**
- Enhanced user experience
- Improved efficiency in user-assistant interactions
- Tailored adaptations for specific users or devices
- Commercial Applications:**
This technology could be utilized in smart home devices, virtual assistants, customer service chatbots, and other automated assistant systems to optimize user interactions and improve overall performance.
- Prior Art:**
Prior art related to this technology may include research on personalized user experiences in automated systems and adaptive technologies in artificial intelligence.
- Frequently Updated Research:**
Stay updated on advancements in personalized user experiences in automated systems and adaptive technologies in artificial intelligence to enhance the application of this technology.
- Questions about Automated Assistant Proficiency Measurement:**
1. How does this technology improve user interactions with automated assistants? 2. What are the potential implications of adapting assistant functionalities based on user proficiency levels?
Original Abstract Submitted
implementations relate to generating a proficiency measure, and utilizing the proficiency measure to adapt one or more automated assistant functionalities. the generated proficiency measure is for a particular class of automated assistant actions, and is specific to an assistant device and/or is specific to a particular user. a generated proficiency measure for a class can reflect a degree of proficiency, of a user and/or of an assistant device, for that class. various automated assistant functionalities can be adapted, for a particular class, responsive to determining the proficiency measure satisfies a threshold, or fails to satisfy the threshold (or an alternate threshold). the adaptation(s) can make automated assistant processing more efficient and/or improve (e.g., shorten the duration of) user-assistant interaction(s).