18669458. INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION simplified abstract (Apple Inc.)
Contents
- 1 INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Intelligent Automated Assistants
- 1.13 Original Abstract Submitted
INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION
Organization Name
Inventor(s)
David Chance Graham of Columbus OH (US)
Cyrus Daniel Irani of Menlo Park CA (US)
Aimee Piercy of Mountain View CA (US)
Thomas Alsina of Saratoga CA (US)
INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18669458 titled 'INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION
Simplified Explanation
The patent application describes systems and processes for operating an intelligent automated assistant that can understand natural language speech inputs to provide media items based on user requests.
- The method involves receiving a speech input requesting media, providing a media item based on the request, and refining the request based on subsequent speech inputs.
- The assistant identifies and provides additional media items based on the refined request, enhancing the user experience.
Key Features and Innovation
- Operating an intelligent automated assistant that understands natural language speech inputs.
- Providing media items based on user requests and refining the requests based on subsequent inputs.
- Enhancing the user experience by identifying and providing additional media items.
Potential Applications
This technology can be applied in various industries such as entertainment, e-commerce, customer service, and education to enhance user interactions and provide personalized recommendations.
Problems Solved
- Streamlining the process of requesting and receiving media items through natural language speech inputs.
- Improving user experience by understanding and refining user requests for media items.
Benefits
- Enhanced user experience through personalized media recommendations.
- Efficient and user-friendly interaction with an intelligent automated assistant.
- Increased user satisfaction and engagement with media content.
Commercial Applications
- Entertainment platforms for personalized media recommendations.
- E-commerce websites for tailored product suggestions.
- Customer service applications for efficient query resolution.
- Educational platforms for customized learning materials.
Prior Art
Readers can explore prior art related to intelligent automated assistants, natural language processing, and media recommendation systems to understand the existing technology landscape.
Frequently Updated Research
Stay updated on advancements in natural language processing, artificial intelligence, and personalized recommendation systems to enhance the capabilities of intelligent automated assistants.
Questions about Intelligent Automated Assistants
How does natural language processing improve user interactions with automated assistants?
Natural language processing enables automated assistants to understand and respond to user requests more accurately and efficiently, enhancing the overall user experience.
What are the potential privacy concerns associated with intelligent automated assistants?
Privacy concerns may arise regarding the collection and storage of user data for personalized recommendations. It is essential to implement robust data protection measures to address these concerns effectively.
Original Abstract Submitted
Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a first natural-language speech input indicative of a request for media, where the first natural-language speech input comprises a first search parameter; providing, by a digital assistant, a first media item identified based on the first search parameter. The method further includes, while providing the first media item, receiving a second natural-language speech input and determining whether the second input corresponds to a user intent of refining the request for media. The method further includes, in accordance with a determination that the second speech input corresponds to a user intent of refining the request for media: identifying, based on the first parameter and the second speech input, a second media item and providing the second media item.
