17957553. SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS simplified abstract (GOOGLE LLC)
Contents
- 1 SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS - 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
SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS
Organization Name
Inventor(s)
Dongeek Shin of San Jose CA (US)
SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957553 titled 'SELECTING A DEVICE TO RESPOND TO DEVICE-AGNOSTIC USER REQUESTS
Simplified Explanation
Implementations relate to selecting a particular device, from an ecosystem of devices, to provide responses to a device-agnostic request of the user while a scenario is occurring. The user specifies a scenario and contextual features are identified from one or more devices of the ecosystem to generate scenario features indicative of the scenario occurring. The scenario features are stored with a correlation to a device that is specified by the user to handle responses while the scenario is occurring. When a subsequent device-agnostic request is received, current contextual features are identified and compared to the scenario features. Based on the comparison, the specified assistant device is selected to respond to the device-agnostic request.
- User specifies a scenario
- Contextual features are identified from devices in the ecosystem
- Scenario features are generated based on the identified contextual features
- Scenario features are stored with a correlation to a specified device
- Current contextual features are compared to scenario features
- Assistant device is selected to respond to device-agnostic requests based on the comparison
Potential Applications
This technology could be applied in smart home systems, virtual assistants, and IoT devices to enhance user experience and provide more personalized responses based on the user's specified scenarios.
Problems Solved
This technology solves the problem of selecting the most appropriate device to respond to a user's request in a scenario-based context, improving efficiency and user satisfaction.
Benefits
- Enhanced user experience - Personalized responses based on specified scenarios - Improved efficiency in device selection for responses
Potential Commercial Applications
"Scenario-Based Device Selection Technology in Smart Home Systems"
Possible Prior Art
One possible prior art could be the use of context-aware computing in selecting devices to respond to user requests in various scenarios.
What are the potential security implications of using this technology?
Using this technology could raise concerns about privacy and data security, as it involves collecting and analyzing contextual data from multiple devices in the ecosystem. Ensuring secure data transmission and storage would be crucial to address these security implications.
How can this technology be further improved for broader applications?
This technology could be further improved by integrating machine learning algorithms to automate the device selection process based on historical data and user preferences. Additionally, expanding compatibility with a wider range of devices and ecosystems would enhance its applicability in various settings.
Original Abstract Submitted
Implementations relate to selecting a particular device, from an ecosystem of devices, to provide responses to a device-agnostic request of the user while a scenario is occurring. The user specifies a scenario and contextual features are identified from one or more devices of the ecosystem to generate scenario features indicative of the scenario occurring. The scenario features are stored with a correlation to a device that is specified by the user to handle responses while the scenario is occurring. When a subsequent device-agnostic request is received, current contextual features are identified and compared to the scenario features. Based on the comparison, the specified assistant device is selected to respond to the device-agnostic request.
